In [5]:
import numpy as np
import networkx as nx
from helpers import import_data, Data
In [6]:
data = import_data("gdb1.txt")
In [8]:
def plot_graph(G: nx.DiGraph, path: list | None = None):
options = {
"font_size": 24,
"node_size": 1500,
"node_color": "white",
"edgecolors": "black",
"linewidths": 3,
"width": 3,
"with_labels": True,
}
layers = {
0: [1],
1: [2, 7, 12],
2: [10, 4],
3: [9, 8, 6],
4: [11, 5, 3],
}
pos = {}
width = 1.0 / (len(layers) - 1)
for i, (layer, nodes) in enumerate(layers.items()):
height = 1.0 / (len(nodes) + 1)
for j, node in enumerate(nodes):
pos[node] = (i * width, (j + 1) * height)
nx.draw(G, pos, **options)
if path is not None:
path_edges = list(zip(path, path[1:]))
nx.draw_networkx_edges(G, pos, edgelist=path_edges, edge_color="r", width=5)
nx.draw_networkx_nodes(G, pos, nodelist=path, node_color="lightblue", node_size=2000)
plot_graph(data.graph)
Solution¶
In [25]:
class RubbishCollectionACO:
def __init__(self, data: Data, alpha=1.0, beta=1.0, evaporation_rate=0.5, iterations=100):
"""
Initializes the ACO model for rubbish collection.
:param graph: A NetworkX graph where nodes represent junctions and edges represent streets.
Edges must have 'cost', 'demand', and 'frequency' attributes.
:param n_vehicles: Number of vehicles available for rubbish collection.
:param alpha: Pheromone importance coefficient.
:param beta: Cost (desirability) importance coefficient.
:param evaporation_rate: Rate at which pheromone evaporates.
:param iterations: Number of iterations to run the simulation.
"""
self.graph = data.graph
self.n_vehicles = data.nb_trucks
self.alpha = alpha
self.beta = beta
self.evaporation_rate = evaporation_rate
self.iterations = iterations
self.pheromone = {edge: 1.0 for edge in self.graph.edges} # Initial pheromone level
def update_pheromone(self, all_paths, costs):
"""
Updates pheromone levels based on the paths taken by all ants in an iteration.
:param all_paths: A list of paths taken by all ants.
:param costs: A list of total costs for each path.
"""
# Evaporate pheromone
for edge in self.pheromone:
self.pheromone[(edge[0], edge[1])] *= 1 - self.evaporation_rate
# Add pheromone
for path, cost in zip(all_paths, costs):
for edge in path:
# Increase pheromone based on the efficiency of the path
self.pheromone[(edge[0], edge[1])] += 1 / cost
def choose_next_edge(self, current_node, visited_edges):
"""
Chooses the next edge for an ant to follow based on pheromone levels and edge desirability.
:param current_node: The current node the ant is at.
:param visited_edges: Edges already visited by the ant.
:return: The next edge to follow.
"""
edges = list(self.graph.edges(current_node, data=True))
probabilities = []
for edge in edges:
if (edge[0], edge[1]) not in visited_edges:
pheromone_level = self.pheromone[(edge[0], edge[1])]
desirability = 1 / edge[2]["cost_traversing"] # Assuming cost is always > 0
probability = (pheromone_level**self.alpha) * (desirability**self.beta)
probabilities.append(probability)
else:
probabilities.append(0)
probabilities = np.array(probabilities) / np.sum(probabilities)
if np.isnan(probabilities).any():
probabilities = np.ones(len(edges)) / np.sum(len(edges))
print(edges, probabilities)
edge_idx = list(range(len(edges)))
idx = np.random.choice(edge_idx, p=probabilities)
return edges[idx]
def find_path(self):
"""
Finds a path for a single ant based on current pheromone levels.
:return: The path and total cost.
"""
path = []
total_cost = 0
current_node = 1 # Starting at the depot node
visited_edges = set()
while len(visited_edges) < len(self.graph.edges):
next_edge = self.choose_next_edge(current_node, visited_edges)
if next_edge:
path.append(next_edge)
visited_edges.add((next_edge[0], next_edge[1]))
total_cost += next_edge[2]["cost_traversing"]
# Move to the next node
current_node = next_edge[1]
else:
# If no unvisited edges, break the loop
break
return path, total_cost
def run(self):
"""
Runs the ACO algorithm for a set number of iterations to find the optimal routes for rubbish collection.
"""
best_cost = float("inf")
best_paths = None
for iteration in range(self.iterations):
all_paths = []
costs = []
for _ in range(self.n_vehicles):
path, cost = self.find_path()
all_paths.append(path)
costs.append(cost)
# Update pheromone levels based on the paths of all ants
self.update_pheromone(all_paths, costs)
# Check if we found a better solution
iteration_best_cost = min(costs)
if iteration_best_cost < best_cost:
best_cost = iteration_best_cost
best_paths = all_paths[costs.index(best_cost)]
print(f"Iteration {iteration+1}, Best Cost: {best_cost}")
return best_paths, best_cost
In [26]:
# Initialize and run the ACO model
aco_model = RubbishCollectionACO(data)
best_paths, best_cost = aco_model.run()
print(f"Best Paths: {best_paths}\nBest Cost: {best_cost}")
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15666303 0.11980114 0.10719049 0.10719049 0.50915484]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09896907 0.62680412 0.11752577 0.15670103]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2238806 0.59701493 0.17910448]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26519337 0. 0.31491713 0.4198895 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17547195 0.13418444 0.12005976 0. 0.57028385]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34256055 0.12456747 0.4567474 0.07612457]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10892587 0.51739788 0.25869894 0.11497731]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19672131 0.3442623 0.45901639]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37078652 0.13483146 0.49438202 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36363636 0.63636364 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22570533 0. 0.53605016 0.23824451]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0. 0.44444444]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1640625 0.328125 0.234375 0.2734375]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48648649 0. 0. 0.51351351]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.73333333 0.26666667 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40834387 0.31226296 0.27939317 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56666667 0.43333333 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10344828 0.07471264 0.14942529 0.67241379]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78873239 0.09859155 0.11267606]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24418605 0. 0.34883721 0.40697674]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88888889 0.11111111 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31578947 0.22807018 0.45614035 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26745914 0.50520059 0.22734027]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33333333 0.66666667 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54054054 0. 0.45945946]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.42857143 0.57142857]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.375 0. 0. 0.625]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41342282 0.29530201 0.1033557 0.18791946]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18181818 0.16363636 0.65454545]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50343249 0.17620137 0.32036613]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35483871 0.64516129]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52631579 0.47368421 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15666303 0.11980114 0.10719049 0.10719049 0.50915484]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34256055 0.12456747 0.4567474 0.07612457]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19672131 0.3442623 0.45901639]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10892587 0.51739788 0.25869894 0.11497731]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2238806 0.59701493 0.17910448]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09896907 0.62680412 0.11752577 0.15670103]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1640625 0.328125 0.234375 0.2734375]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78873239 0.09859155 0.11267606]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11735941 0.74327628 0.1393643 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.875 0. 0.125]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10344828 0.07471264 0.14942529 0.67241379]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21428571 0.42857143 0. 0.35714286]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0. 0.44444444]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.375 0. 0. 0.625]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41342282 0.29530201 0.1033557 0.18791946]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63057325 0.22929936 0. 0.14012739]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14693878 0.69795918 0. 0.15510204]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3 0. 0.7]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.73333333 0.26666667 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31916996 0.24407115 0.21837945 0.21837945 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31578947 0.22807018 0.45614035 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26745914 0.50520059 0.22734027]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18181818 0.16363636 0.65454545]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50909091 0.36363636 0.12727273 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.8 0. 0.2 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52631579 0.47368421 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58064516 0.41935484 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34615385 0.65384615 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35849057 0.32075472 0.32075472 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.5 0.5 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13636364 0.86363636 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48648649 0. 0. 0.51351351]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15666303 0.11980114 0.10719049 0.10719049 0.50915484]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10892587 0.51739788 0.25869894 0.11497731]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19672131 0.3442623 0.45901639]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41342282 0.29530201 0.1033557 0.18791946]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18181818 0.16363636 0.65454545]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50343249 0.17620137 0.32036613]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.42857143 0.57142857]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22570533 0. 0.53605016 0.23824451]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2238806 0.59701493 0.17910448]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1640625 0.328125 0.234375 0.2734375]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27272727 0.72727273 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48648649 0. 0. 0.51351351]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17547195 0.13418444 0. 0.12005976 0.57028385]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10344828 0.07471264 0.14942529 0.67241379]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78873239 0.09859155 0.11267606]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31578947 0.22807018 0.45614035 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26745914 0.50520059 0.22734027]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58064516 0.41935484 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.1627409 0. 0.14561028 0.69164882]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34256055 0.12456747 0.4567474 0.07612457]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63057325 0.22929936 0. 0.14012739]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52777778 0. 0.47222222 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09896907 0.62680412 0.11752577 0.15670103]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54054054 0. 0.45945946]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62068966 0. 0.37931034]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.69565217 0.13043478 0.17391304]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.42857143 0.57142857]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24418605 0. 0.34883721 0.40697674]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46666667 0.53333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.375 0. 0. 0.625]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35483871 0.64516129]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52631579 0.47368421 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15666303 0.11980114 0.10719049 0.10719049 0.50915484]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34256055 0.12456747 0.4567474 0.07612457]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31916996 0.24407115 0.21837945 0.21837945 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10892587 0.51739788 0.25869894 0.11497731]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19672131 0.3442623 0.45901639]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41342282 0.29530201 0.1033557 0.18791946]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18181818 0.16363636 0.65454545]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50343249 0.17620137 0.32036613]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18947368 0.69473684 0.11578947]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22570533 0. 0.53605016 0.23824451]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2238806 0.59701493 0.17910448]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48648649 0. 0. 0.51351351]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21428571 0.78571429 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.42857143 0.57142857]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.74074074 0.25925926 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40834387 0.31226296 0. 0.27939317 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09896907 0.62680412 0.11752577 0.15670103]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78873239 0.09859155 0.11267606]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10344828 0.07471264 0.14942529 0.67241379]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46666667 0.53333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11214953 0.71028037 0. 0.17757009]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.76923077 0.23076923]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38709677 0. 0. 0.61290323]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56666667 0.43333333 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31578947 0.22807018 0.45614035 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26745914 0.50520059 0.22734027]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33333333 0.66666667 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54054054 0. 0.45945946]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52631579 0.47368421 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1640625 0.328125 0.234375 0.2734375]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24418605 0. 0.34883721 0.40697674]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46153846 0.53846154]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15666303 0.11980114 0.10719049 0.10719049 0.50915484]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10892587 0.51739788 0.25869894 0.11497731]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2238806 0.59701493 0.17910448]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09896907 0.62680412 0.11752577 0.15670103]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0. 0.44444444]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14693878 0.69795918 0. 0.15510204]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19672131 0.3442623 0.45901639]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41342282 0.29530201 0.1033557 0.18791946]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18181818 0.16363636 0.65454545]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10344828 0.07471264 0.14942529 0.67241379]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78873239 0.09859155 0.11267606]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26519337 0. 0.31491713 0.4198895 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.875 0. 0.125]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31578947 0.22807018 0.45614035 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17547195 0.13418444 0. 0.12005976 0.57028385]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38709677 0. 0. 0.61290323]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1640625 0.328125 0.234375 0.2734375]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19941349 0.15249267 0. 0. 0.64809384]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34256055 0.12456747 0.4567474 0.07612457]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.42857143 0.57142857]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63057325 0.22929936 0. 0.14012739]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50343249 0.17620137 0.32036613]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48648649 0. 0. 0.51351351]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81818182 0. 0. 0.18181818]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56666667 0.43333333 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26745914 0.50520059 0.22734027]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.2 0.8]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35483871 0.64516129]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33333333 0.66666667 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34615385 0.65384615 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22580645 0.4516129 0.32258065 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41176471 0. 0.58823529 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 1, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15679242 0.12019699 0.10770519 0.10751647 0.50778893]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34304518 0.12471079 0.45620917 0.07603486]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41285816 0.29558628 0.1034552 0.18810036]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18150974 0.16335876 0.6551315 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26812733 0.50473977 0.2271329 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10312737 0.07465454 0.14934849 0.6728696 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78836993 0.09900579 0.11262428]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402673 0.32881658 0.23377881 0.27337788]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22342515 0.59783474 0.17874012]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10970876 0.51709851 0.25854926 0.11464347]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19693159 0.34463028 0.45843813]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22718662 0. 0.53540787 0.23740551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31854712 0.24419807 0.21881911 0.2184357 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09901635 0.62616415 0.11755096 0.15726854]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.7698353 0.2301647]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24438436 0. 0.34830838 0.40730726]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88842856 0.11157144 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31524851 0.22821034 0.45654115 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54138676 0. 0.45861324]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40757635 0.31244783 0.27997583 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69280357 0.30719643]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26486584 0. 0.31444539 0.42068876]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.375 0. 0. 0.625]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45720819 0. 0.54279181 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56605925 0.43394075 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21695051 0. 0.78304949]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50343249 0.17620137 0.32036613]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.61111111 0. 0.38888889]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39192209 0. 0.52120963 0.08686827]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42920652 0. 0.57079348 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3004893 0. 0.6995107]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58007797 0.41992203 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15679242 0.12019699 0.10770519 0.10751647 0.50778893]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10970876 0.51709851 0.25854926 0.11464347]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19693159 0.34463028 0.45843813]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22718662 0. 0.53540787 0.23740551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17571818 0.13470547 0. 0.12049433 0.56908202]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34304518 0.12471079 0.45620917 0.07603486]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3004893 0. 0.6995107]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63084032 0.22933595 0. 0.13982373]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40777639 0.31260118 0. 0.27962243 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09901635 0.62616415 0.11755096 0.15726854]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402673 0.32881658 0.23377881 0.27337788]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41285816 0.29558628 0.1034552 0.18810036]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62123781 0. 0.37876219]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50850886 0.36406751 0.12742363 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79962711 0. 0.20037289 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18150974 0.16335876 0.6551315 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10312737 0.07465454 0.14934849 0.6728696 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78836993 0.09900579 0.11262428]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31524851 0.22821034 0.45654115 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19958547 0.80041453]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39333385 0.27964866 0.32701749]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22342515 0.59783474 0.17874012]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46095973 0.53904027]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11749455 0.74301741 0.13948804 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46782479 0.53217521]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13654028 0.86345972 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56605925 0.43394075 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40846428 0. 0.59153572 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26812733 0.50473977 0.2271329 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54138676 0. 0.45861324]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2720517 0.7279483 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69280357 0.30719643]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15679242 0.12019699 0.10770519 0.10751647 0.50778893]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34304518 0.12471079 0.45620917 0.07603486]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31854712 0.24419807 0.21881911 0.2184357 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26812733 0.50473977 0.2271329 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10312737 0.07465454 0.14934849 0.6728696 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42146905 0. 0.28951912 0.28901183 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10970876 0.51709851 0.25854926 0.11464347]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19693159 0.34463028 0.45843813]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22718662 0. 0.53540787 0.23740551]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22342515 0.59783474 0.17874012]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09901635 0.62616415 0.11755096 0.15726854]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402673 0.32881658 0.23377881 0.27337788]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0. 0.44444444]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24438436 0. 0.34830838 0.40730726]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78836993 0.09900579 0.11262428]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.08323873 0.1665214 0.75023987]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46782479 0.53217521]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.375 0. 0. 0.625]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11749455 0.74301741 0.13948804 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4890023 0. 0. 0.5109977]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5932166 0. 0. 0.4067834 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45720819 0. 0.54279181 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33327469 0.66672531 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54138676 0. 0.45861324]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18150974 0.16335876 0.6551315 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41285816 0.29558628 0.1034552 0.18810036]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.1898316 0.69443005 0.11573834]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21467809 0.78532191 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3004893 0. 0.6995107]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50850886 0.36406751 0.12742363 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52631579 0.47368421 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.74074074 0.25925926 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15679242 0.12019699 0.10770519 0.10751647 0.50778893]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10312737 0.07465454 0.14934849 0.6728696 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78836993 0.09900579 0.11262428]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31524851 0.22821034 0.45654115 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14254733 0.12773271 0.1275089 0.60221106]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34304518 0.12471079 0.45620917 0.07603486]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10970876 0.51709851 0.25854926 0.11464347]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19693159 0.34463028 0.45843813]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37127503 0.13497348 0.4937515 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36363636 0.63636364 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22718662 0. 0.53540787 0.23740551]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22342515 0.59783474 0.17874012]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402673 0.32881658 0.23377881 0.27337788]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46782479 0.53217521]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21407229 0.42914055 0. 0.35678716]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09901635 0.62616415 0.11755096 0.15726854]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2720517 0.7279483 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26486584 0. 0.31444539 0.42068876]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35834916 0.32110674 0.3205441 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.42773879 0.57226121]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3328172 0.6671828 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4890023 0. 0. 0.5109977]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52740606 0.47259394 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.73338494 0.26661506 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26812733 0.50473977 0.2271329 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33327469 0.66672531 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18150974 0.16335876 0.6551315 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41285816 0.29558628 0.1034552 0.18810036]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50850886 0.36406751 0.12742363 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79962711 0. 0.20037289 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52631579 0.47368421 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54138676 0. 0.45861324]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15679242 0.12019699 0.10770519 0.10751647 0.50778893]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34304518 0.12471079 0.45620917 0.07603486]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31854712 0.24419807 0.21881911 0.2184357 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10312737 0.07465454 0.14934849 0.6728696 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78836993 0.09900579 0.11262428]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31524851 0.22821034 0.45654115 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26812733 0.50473977 0.2271329 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58007797 0.41992203 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35834916 0.32110674 0.3205441 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54138676 0. 0.45861324]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50043843 0.49956157 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10970876 0.51709851 0.25854926 0.11464347]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09901635 0.62616415 0.11755096 0.15726854]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46782479 0.53217521]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402673 0.32881658 0.23377881 0.27337788]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41285816 0.29558628 0.1034552 0.18810036]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18150974 0.16335876 0.6551315 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21695051 0. 0.78304949]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50343249 0.17620137 0.32036613]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39333385 0.27964866 0.32701749]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11220631 0.70957542 0. 0.17821827]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.5844637 0.4155363 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13654028 0.86345972 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22342515 0.59783474 0.17874012]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.1898316 0.69443005 0.11573834]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.61111111 0. 0.38888889]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19693159 0.34463028 0.45843813]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.5808195 0.29040975 0.12877075]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.85714286 0.14285714]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3004893 0. 0.6995107]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.66666667 0.33333333 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0. 0.44444444]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
Iteration 2, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15628473 0.11966076 0.1064453 0.10730259 0.51030661]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34674681 0.12458531 0.45298061 0.07568727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31914814 0.24435853 0.21737133 0.219122 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26710906 0.5075342 0.22535674]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42235392 0. 0.28766464 0.28998144 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10959695 0.51772425 0.25740282 0.11527598]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19616499 0.34455481 0.4592802 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22724956 0. 0.5337254 0.23902504]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22343867 0.59781039 0.17875094]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48737281 0. 0. 0.51262719]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59291444 0. 0. 0.40708556 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09981595 0.6238533 0.11820626 0.15812448]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402779 0.32879601 0.23379655 0.27337965]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.76981736 0.23018264]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11856379 0.74102797 0.14040824 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78966454 0.0989822 0.11135327]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24437845 0. 0.34832413 0.40729742]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4135042 0.29493806 0.10386989 0.18768785]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18027874 0.16464988 0.65507138]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69250986 0.30749014]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10245686 0.07416278 0.14990979 0.67347058]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88861468 0.11138532 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31377526 0.22712433 0.4591004 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21581219 0. 0.78418781]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5800989 0.4199011 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50288179 0.17710253 0.32001568]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29928511 0. 0.70071489]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19071519 0.69342273 0.11586208]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35625837 0.64374163]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46097697 0.53902303]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13793035 0.86206965 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62207871 0. 0.37792129]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15628473 0.11966076 0.1064453 0.10730259 0.51030661]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34674681 0.12458531 0.45298061 0.07568727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31914814 0.24435853 0.21737133 0.219122 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10245686 0.07416278 0.14990979 0.67347058]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78966454 0.0989822 0.11135327]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31377526 0.22712433 0.4591004 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18027874 0.16464988 0.65507138]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40598414 0. 0.59401586 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26710906 0.5075342 0.22535674]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35890117 0.31926377 0.32183506 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09981595 0.6238533 0.11820626 0.15812448]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22343867 0.59781039 0.17875094]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402779 0.32879601 0.23379655 0.27337965]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26536443 0. 0.31425573 0.42037983]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52922401 0.47077599 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54239108 0. 0.45760892]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10959695 0.51772425 0.25740282 0.11527598]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19616499 0.34455481 0.4592802 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4135042 0.29493806 0.10386989 0.18768785]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.20086081 0.79913919]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50288179 0.17710253 0.32001568]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.42863872 0.57136128]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22724956 0. 0.5337254 0.23902504]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69068275 0.30931725]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27207175 0.72792825 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.42777092 0.57222908]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47059205 0.52940795]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22574071 0.45250041 0.32175888 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19071519 0.69342273 0.11586208]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41231211 0. 0.58768789 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35625837 0.64374163]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21570751 0.78429249 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15628473 0.11966076 0.1064453 0.10730259 0.51030661]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10245686 0.07416278 0.14990979 0.67347058]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78966454 0.0989822 0.11135327]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31377526 0.22712433 0.4591004 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26710906 0.5075342 0.22535674]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5800989 0.4199011 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14182599 0.12616259 0.12717868 0.60483273]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34674681 0.12458531 0.45298061 0.07568727]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19616499 0.34455481 0.4592802 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63388395 0.227753 0. 0.13836305]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35890117 0.31926377 0.32183506 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54239108 0. 0.45760892]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18027874 0.16464988 0.65507138]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.49799463 0.50200537 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10959695 0.51772425 0.25740282 0.11527598]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36278492 0.63721508 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22724956 0. 0.5337254 0.23902504]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22343867 0.59781039 0.17875094]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09981595 0.6238533 0.11820626 0.15812448]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0. 0.44444444]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402779 0.32879601 0.23379655 0.27337965]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26536443 0. 0.31425573 0.42037983]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47059205 0.52940795]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38697288 0. 0. 0.61302712]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22574071 0.45250041 0.32175888 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33283253 0.66716747 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4135042 0.29493806 0.10386989 0.18768785]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21581219 0. 0.78418781]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50288179 0.17710253 0.32001568]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35625837 0.64374163]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48737281 0. 0. 0.51262719]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62207871 0. 0.37792129]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15628473 0.11966076 0.1064453 0.10730259 0.51030661]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10245686 0.07416278 0.14990979 0.67347058]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78966454 0.0989822 0.11135327]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31377526 0.22712433 0.4591004 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26710906 0.5075342 0.22535674]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5800989 0.4199011 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14182599 0.12616259 0.12717868 0.60483273]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54239108 0. 0.45760892]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.14701283 0.14819684 0.70479032]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34674681 0.12458531 0.45298061 0.07568727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.49799463 0.50200537 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10959695 0.51772425 0.25740282 0.11527598]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19616499 0.34455481 0.4592802 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22724956 0. 0.5337254 0.23902504]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22343867 0.59781039 0.17875094]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402779 0.32879601 0.23379655 0.27337965]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47059205 0.52940795]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21407864 0.42912363 0. 0.35679773]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4135042 0.29493806 0.10386989 0.18768785]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18027874 0.16464988 0.65507138]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50288179 0.17710253 0.32001568]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29928511 0. 0.70071489]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35625837 0.64374163]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.54601344 0. 0.45398656]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27207175 0.72792825 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09981595 0.6238533 0.11820626 0.15812448]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48737281 0. 0. 0.51262719]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19071519 0.69342273 0.11586208]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62207871 0. 0.37792129]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26536443 0. 0.31425573 0.42037983]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38697288 0. 0. 0.61302712]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52265522 0.47734478 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15628473 0.11966076 0.1064453 0.10730259 0.51030661]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10959695 0.51772425 0.25740282 0.11527598]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22343867 0.59781039 0.17875094]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09981595 0.6238533 0.11820626 0.15812448]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55555556 0. 0.44444444]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.147586 0.69718047 0. 0.15523353]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34674681 0.12458531 0.45298061 0.07568727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17490226 0.13391543 0. 0.12008509 0.57109723]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19071519 0.69342273 0.11586208]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.17470628 0.82529372 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19616499 0.34455481 0.4592802 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21570751 0.78429249 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4135042 0.29493806 0.10386989 0.18768785]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36278492 0.63721508 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58647925 0. 0.14732023 0.26620052]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18027874 0.16464988 0.65507138]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35625837 0.64374163]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40778999 0.31222793 0. 0.27998207 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10245686 0.07416278 0.14990979 0.67347058]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78966454 0.0989822 0.11135327]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31377526 0.22712433 0.4591004 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52722502 0. 0.47277498 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26536443 0. 0.31425573 0.42037983]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47059205 0.52940795]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16402779 0.32879601 0.23379655 0.27337965]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24437845 0. 0.34832413 0.40729742]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46097697 0.53902303]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38697288 0. 0. 0.61302712]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26710906 0.5075342 0.22535674]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.3309766 0.6690234 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52265522 0.47734478 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54239108 0. 0.45760892]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
Iteration 3, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15423924 0.11980233 0.10754721 0.10629269 0.51211854]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10251537 0.07419523 0.14988119 0.6734082 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26712963 0.50739707 0.2254733 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12058946 0.08727631 0. 0.79213423]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78960925 0.09895903 0.11143172]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58013141 0.41986859 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18037033 0.16458958 0.65504009]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41345453 0.29416214 0.10518925 0.18719409]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19406403 0.34078962 0.46514635]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078082 0.51602927 0.25845128 0.11771125]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29438862 0. 0.70561138]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35177546 0.12660796 0.44567377 0.07594281]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14165037 0.12716032 0.12567702 0.60551229]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19531497 0.68752992 0.11715511]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58576417 0. 0.14902749 0.26520834]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62506776 0. 0.37493224]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79718402 0. 0.20281598 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52287332 0.47712668 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35907424 0.32234292 0.31858284 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2227577 0. 0.53402254 0.24321977]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52987602 0. 0.47012398 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54228186 0. 0.45771814]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09925198 0.62947595 0.11605514 0.15521693]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16717779 0.32559416 0.23158236 0.27564569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2245816 0.5954024 0.180016 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11748813 0.74513325 0.13737863 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55507397 0. 0.44492603]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.68707343 0.31292657]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.247889 0. 0.34338724 0.40872375]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.45656458 0.54343542]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46097863 0. 0.53902137 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47035826 0.52964174]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15423924 0.11980233 0.10754721 0.10629269 0.51211854]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35177546 0.12660796 0.44567377 0.07594281]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19406403 0.34078962 0.46514635]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63460006 0.22839972 0. 0.13700022]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3161408 0.24555622 0.22043717 0.21786581 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10251537 0.07419523 0.14988119 0.6734082 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35907424 0.32234292 0.31858284 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26712963 0.50739707 0.2254733 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.0826702 0.1670014 0.7503284]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78960925 0.09895903 0.11143172]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33111574 0.66888426 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18037033 0.16458958 0.65504009]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41345453 0.29416214 0.10518925 0.18719409]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52287332 0.47712668 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54228186 0. 0.45771814]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50293331 0.49706669 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078082 0.51602927 0.25845128 0.11771125]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62506776 0. 0.37493224]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50151634 0.1793369 0.31914676]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36283576 0.63716424 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12219152 0.58487573 0.29293276 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35976485 0.64023515]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29434925 0. 0.70565075 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2245816 0.5954024 0.180016 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09925198 0.62947595 0.11605514 0.15521693]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55507397 0. 0.44492603]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2678692 0. 0.31321891 0.4189119 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16717779 0.32559416 0.23158236 0.27564569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.247889 0. 0.34338724 0.40872375]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.42781823 0.57218177]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47035826 0.52964174]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41924397 0. 0.58075603 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15423924 0.11980233 0.10754721 0.10629269 0.51211854]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09925198 0.62947595 0.11605514 0.15521693]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2245816 0.5954024 0.180016 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2678692 0. 0.31321891 0.4189119 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16717779 0.32559416 0.23158236 0.27564569]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41345453 0.29416214 0.10518925 0.18719409]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35177546 0.12660796 0.44567377 0.07594281]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19406403 0.34078962 0.46514635]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63460006 0.22839972 0. 0.13700022]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17258361 0.13405097 0.12033829 0. 0.57302713]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10251537 0.07419523 0.14988119 0.6734082 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78960925 0.09895903 0.11143172]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31389451 0.22718033 0.45892516 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18037033 0.16458958 0.65504009]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50867559 0.36190945 0.12941496 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36283576 0.63716424 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078082 0.51602927 0.25845128 0.11771125]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79718402 0. 0.20281598 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52287332 0.47712668 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40616786 0. 0.59383214 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26712963 0.50739707 0.2254733 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.16201149 0.14543861 0. 0.6925499 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69234219 0.30765781]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.17355681 0. 0.82644319]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62506776 0. 0.37493224]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39095278 0.27806939 0.33097783]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46097863 0. 0.53902137 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47035826 0.52964174]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.58436446 0.41563554 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2227577 0. 0.53402254 0.24321977]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55507397 0. 0.44492603]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47804393 0. 0. 0.52195607]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15423924 0.11980233 0.10754721 0.10629269 0.51211854]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35177546 0.12660796 0.44567377 0.07594281]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19406403 0.34078962 0.46514635]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63460006 0.22839972 0. 0.13700022]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3161408 0.24555622 0.22043717 0.21786581 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078082 0.51602927 0.25845128 0.11771125]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2245816 0.5954024 0.180016 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09925198 0.62947595 0.11605514 0.15521693]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55507397 0. 0.44492603]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1453825 0.69588047 0. 0.15873704]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36283576 0.63716424 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47804393 0. 0. 0.52195607]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40553601 0.31499221 0. 0.27947177 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10251537 0.07419523 0.14988119 0.6734082 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78960925 0.09895903 0.11143172]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31389451 0.22718033 0.45892516 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52987602 0. 0.47012398 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2678692 0. 0.31321891 0.4189119 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26712963 0.50739707 0.2254733 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18037033 0.16458958 0.65504009]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41345453 0.29416214 0.10518925 0.18719409]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16717779 0.32559416 0.23158236 0.27564569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47035826 0.52964174]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21756111 0.42372031 0. 0.35871859]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46205807 0.32874229 0. 0.20919964]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68834676 0. 0. 0.31165324]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52287332 0.47712668 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33111574 0.66888426 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34489402 0.65510598 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62506776 0. 0.37493224]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.42781823 0.57218177]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.54153789 0. 0.45846211]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15423924 0.11980233 0.10754721 0.10629269 0.51211854]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35177546 0.12660796 0.44567377 0.07594281]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3161408 0.24555622 0.22043717 0.21786581 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10251537 0.07419523 0.14988119 0.6734082 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78960925 0.09895903 0.11143172]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31389451 0.22718033 0.45892516 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35907424 0.32234292 0.31858284 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26712963 0.50739707 0.2254733 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50293331 0.49706669 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09925198 0.62947595 0.11605514 0.15521693]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47035826 0.52964174]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.112283 0.71212128 0. 0.17559572]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16717779 0.32559416 0.23158236 0.27564569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21756111 0.42372031 0. 0.35871859]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41345453 0.29416214 0.10518925 0.18719409]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18037033 0.16458958 0.65504009]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50151634 0.1793369 0.31914676]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19531497 0.68752992 0.11715511]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19406403 0.34078962 0.46514635]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62506776 0. 0.37493224]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1078082 0.51602927 0.25845128 0.11771125]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2245816 0.5954024 0.180016 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13619895 0.86380105 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55507397 0. 0.44492603]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.54153789 0. 0.45846211]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1453825 0.69588047 0. 0.15873704]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69234219 0.30765781]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33111574 0.66888426 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52287332 0.47712668 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73659977 0.26340023 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36283576 0.63716424 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.81425955 0. 0.18574045]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
Iteration 4, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16038287 0.1227774 0.10734883 0.10288432 0.50660657]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09922666 0.62923682 0.11618676 0.15534976]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79109716 0.09711152 0.11179132]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10147221 0.0778468 0.14920444 0.67147655]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46486453 0.53513547]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16745934 0.3270274 0.23270392 0.27280934]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11227107 0.71195677 0. 0.17577216]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22841228 0.59028931 0.18129841]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38977161 0. 0. 0.61022839]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17877614 0.13685794 0.11965997 0. 0.56470596]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34614719 0.12657528 0.44948384 0.0777937 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18752408 0.35235039 0.46012553]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41578363 0.28623488 0.10615123 0.19183026]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18227926 0.16114938 0.65657136]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48994671 0.18169848 0.32835482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43367487 0.56632513]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62876843 0.2299211 0. 0.14131046]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.410702 0.31440343 0.27489457 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26168717 0.50272186 0.23559097]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59904326 0. 0.40095674 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10512772 0.51417644 0.25504199 0.12565385]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21639074 0. 0.52496835 0.25864091]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55749651 0. 0.44250349]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45552909 0. 0. 0.54447091]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30887357 0.23695965 0.45416678 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61934685 0. 0.38065315]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3562343 0.6437657]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23028258 0.44971342 0.320004 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.58425781 0.41574219 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53076314 0.46923686 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34286006 0.65713994 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.6809063 0.3190937]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16038287 0.1227774 0.10734883 0.10288432 0.50660657]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26168717 0.50272186 0.23559097]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1828303 0. 0.12237354 0.11728417 0.57751199]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34614719 0.12657528 0.44948384 0.0777937 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10512772 0.51417644 0.25504199 0.12565385]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22841228 0.59028931 0.18129841]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09922666 0.62923682 0.11618676 0.15534976]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43274673 0. 0.28964973 0.27760354 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14111898 0.69020863 0. 0.16867239]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18752408 0.35235039 0.46012553]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3753468 0.13725268 0.48740052 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60920189 0. 0. 0.39079811 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.69855178 0.12898556 0.17246265]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16745934 0.3270274 0.23270392 0.27280934]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55749651 0. 0.44250349]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45552909 0. 0. 0.54447091]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21972621 0.78027379 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34734757 0.65265243 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41578363 0.28623488 0.10615123 0.19183026]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18227926 0.16114938 0.65657136]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48994671 0.18169848 0.32835482]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.72947252 0.27052748 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2488353 0. 0.34578514 0.40537956]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.84413324 0.15586676 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41847754 0. 0.58152246 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10147221 0.0778468 0.14920444 0.67147655]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79109716 0.09711152 0.11179132]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30887357 0.23695965 0.45416678 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53076314 0.46923686 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40479324 0. 0.59520676 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.6809063 0.3190937]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46486453 0.53513547]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16038287 0.1227774 0.10734883 0.10288432 0.50660657]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26168717 0.50272186 0.23559097]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10147221 0.0778468 0.14920444 0.67147655]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1828303 0. 0.12237354 0.11728417 0.57751199]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34614719 0.12657528 0.44948384 0.0777937 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18752408 0.35235039 0.46012553]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10512772 0.51417644 0.25504199 0.12565385]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43274673 0. 0.28964973 0.27760354 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09922666 0.62923682 0.11618676 0.15534976]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22841228 0.59028931 0.18129841]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26762814 0. 0.31337189 0.41899997]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79109716 0.09711152 0.11179132]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38977161 0. 0. 0.61022839]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59904326 0. 0.40095674 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.08663817 0.16605434 0.74730749]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87618479 0. 0.12381521]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34286006 0.65713994 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18227926 0.16114938 0.65657136]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41578363 0.28623488 0.10615123 0.19183026]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53076314 0.46923686 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52623903 0. 0.47376097]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.57458081 0.28500379 0.1404154 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28954558 0. 0.71045442]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48994671 0.18169848 0.32835482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62876843 0.2299211 0. 0.14131046]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.66993638 0.33006362]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61934685 0. 0.38065315]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3562343 0.6437657]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55749651 0. 0.44250349]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16745934 0.3270274 0.23270392 0.27280934]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39280652 0.27951058 0.3276829 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46033199 0.53966801]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16038287 0.1227774 0.10734883 0.10288432 0.50660657]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10512772 0.51417644 0.25504199 0.12565385]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17967027 0.13754242 0. 0.11525703 0.56753028]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10147221 0.0778468 0.14920444 0.67147655]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79109716 0.09711152 0.11179132]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16745934 0.3270274 0.23270392 0.27280934]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89066587 0.10933413 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30887357 0.23695965 0.45416678 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.16766724 0. 0.14050086 0.69183191]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26168717 0.50272186 0.23559097]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18227926 0.16114938 0.65657136]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41578363 0.28623488 0.10615123 0.19183026]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53076314 0.46923686 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34286006 0.65713994 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34233919 0.65766081 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0.16880371 0.83119629]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09922666 0.62923682 0.11618676 0.15534976]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22841228 0.59028931 0.18129841]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.57458081 0.28500379 0.1404154 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.76503202 0.23496798]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26762814 0. 0.31337189 0.41899997]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38977161 0. 0. 0.61022839]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34614719 0.12657528 0.44948384 0.0777937 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21824605 0.42620757 0. 0.35554637]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48994671 0.18169848 0.32835482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18752408 0.35235039 0.46012553]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19358376 0.68743886 0.11897738]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34734757 0.65265243 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.80361379 0. 0.19638621]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3562343 0.6437657]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.54519401 0. 0.45480599]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61934685 0. 0.38065315]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16038287 0.1227774 0.10734883 0.10288432 0.50660657]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34614719 0.12657528 0.44948384 0.0777937 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10512772 0.51417644 0.25504199 0.12565385]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22841228 0.59028931 0.18129841]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09922666 0.62923682 0.11618676 0.15534976]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16745934 0.3270274 0.23270392 0.27280934]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55749651 0. 0.44250349]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14111898 0.69020863 0. 0.16867239]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18752408 0.35235039 0.46012553]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41578363 0.28623488 0.10615123 0.19183026]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3753468 0.13725268 0.48740052 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43367487 0.56632513]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.73224187 0.26775813 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51447562 0.35417669 0.13134769 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18227926 0.16114938 0.65657136]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.72947252 0.27052748 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2488353 0. 0.34578514 0.40537956]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79109716 0.09711152 0.11179132]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10147221 0.0778468 0.14920444 0.67147655]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46486453 0.53513547]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38035715 0. 0. 0.61964285]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11747663 0.74496732 0.13755606 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45552909 0. 0. 0.54447091]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32506082 0.2488428 0.21757248 0.2085239 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26168717 0.50272186 0.23559097]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53076314 0.46923686 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30887357 0.23695965 0.45416678 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34233919 0.65766081 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40479324 0. 0.59520676 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43274673 0. 0.28964973 0.27760354 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60920189 0. 0. 0.39079811 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46063361 0. 0.53936639 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 5, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15921195 0.12051527 0.11031217 0.10623219 0.50372841]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0974734 0.07399361 0.14287115 0.68566184]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78603416 0.09954409 0.11442175]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31009091 0.23539493 0.45451416 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14333609 0.13120093 0.12634836 0.59911462]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26108675 0.50005635 0.23885689]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.15315333 0.14748884 0.69935784]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34773558 0.12286334 0.45396244 0.07543864]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20583335 0.34369711 0.45046953]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63683454 0.22500896 0. 0.1381565 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50942066 0.49057934 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10035358 0.61892021 0.11460126 0.16612495]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22877852 0.59067167 0.18054981]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16528317 0.33323152 0.23097376 0.27051156]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27918539 0.72081461 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10117426 0.52738528 0.25306702 0.11837345]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26334007 0. 0.30072774 0.43593218]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46523356 0.53476644]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37659162 0. 0. 0.62340838]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24788689 0. 0.34640774 0.40570537]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3792684 0. 0. 0.6207316]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41942148 0.28084349 0.10681469 0.19292035]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13545292 0.70606774 0. 0.15847934]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61957699 0. 0.38042301]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16096209 0.83903791 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37456222 0.62543778 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.67674569 0.32325431]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34119702 0.65880298 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616329 0.16079744 0.65303928]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46957946 0.31442914 0. 0.2159914 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68494664 0. 0. 0.31505336]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53655436 0.46344564 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15921195 0.12051527 0.11031217 0.10623219 0.50372841]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0974734 0.07399361 0.14287115 0.68566184]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78603416 0.09954409 0.11442175]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31009091 0.23539493 0.45451416 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616329 0.16079744 0.65303928]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26108675 0.50005635 0.23885689]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14333609 0.13120093 0.12634836 0.59911462]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.67674569 0.32325431]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40555696 0. 0.59444304 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22183355 0. 0.77816645]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41942148 0.28084349 0.10681469 0.19292035]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34773558 0.12286334 0.45396244 0.07543864]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20583335 0.34369711 0.45046953]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63683454 0.22500896 0. 0.1381565 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.15315333 0.14748884 0.69935784]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61957699 0. 0.38042301]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10117426 0.52738528 0.25306702 0.11837345]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22877852 0.59067167 0.18054981]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10035358 0.61892021 0.11460126 0.16612495]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50942066 0.49057934 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.6879594 0.12738478 0.18465582]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55891201 0. 0.44108799]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16528317 0.33323152 0.23097376 0.27051156]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51967793 0.34797493 0.13234714 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13545292 0.70606774 0. 0.15847934]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37456222 0.62543778 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4608304 0. 0. 0.5391696]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.72446167 0.27553833 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39921504 0.27670912 0.32407584]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.40823144 0.59176856]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46523356 0.53476644]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46057931 0.53942069]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15921195 0.12051527 0.11031217 0.10623219 0.50372841]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34773558 0.12286334 0.45396244 0.07543864]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32081617 0.24284137 0.22228187 0.2140606 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0974734 0.07399361 0.14287115 0.68566184]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78603416 0.09954409 0.11442175]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31009091 0.23539493 0.45451416 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616329 0.16079744 0.65303928]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40555696 0. 0.59444304 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26108675 0.50005635 0.23885689]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19757948 0.80242052]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41942148 0.28084349 0.10681469 0.19292035]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20583335 0.34369711 0.45046953]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10117426 0.52738528 0.25306702 0.11837345]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.3575488 0.32727791 0.31517329 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34301927 0.65698073 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50942066 0.49057934 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10035358 0.61892021 0.11460126 0.16612495]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46523356 0.53476644]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11334281 0.69902992 0. 0.18762727]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22877852 0.59067167 0.18054981]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16528317 0.33323152 0.23097376 0.27051156]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37659162 0. 0. 0.62340838]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.58674919 0.28155293 0.13169788]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18836432 0.69597915 0.11565653]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.67574313 0.32425687 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27918539 0.72081461 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22657407 0.45680164 0.31662429 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33155125 0.66844875 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31362555 0. 0.68637445]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58321307 0. 0.14852773 0.2682592 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3563637 0.6436363]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21299905 0.78700095 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15921195 0.12051527 0.11031217 0.10623219 0.50372841]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34773558 0.12286334 0.45396244 0.07543864]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32081617 0.24284137 0.22228187 0.2140606 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0974734 0.07399361 0.14287115 0.68566184]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26108675 0.50005635 0.23885689]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.3575488 0.32727791 0.31517329 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10117426 0.52738528 0.25306702 0.11837345]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22877852 0.59067167 0.18054981]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10035358 0.61892021 0.11460126 0.16612495]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78603416 0.09954409 0.11442175]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11334281 0.69902992 0. 0.18762727]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55891201 0. 0.44108799]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16528317 0.33323152 0.23097376 0.27051156]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13545292 0.70606774 0. 0.15847934]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18836432 0.69597915 0.11565653]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41942148 0.28084349 0.10681469 0.19292035]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616329 0.16079744 0.65303928]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11372083 0.08632729 0. 0.79995188]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87292909 0. 0.12707091]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56846739 0.43153261 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.53149556 0. 0.46850444 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37659162 0. 0. 0.62340838]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24788689 0. 0.34640774 0.40570537]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.67674569 0.32325431]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19757948 0.80242052]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48373041 0.18397974 0.33228985]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20583335 0.34369711 0.45046953]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.85750192 0.14249808]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37456222 0.62543778 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3563637 0.6436363]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16096209 0.83903791 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41711111 0. 0.58288889 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15921195 0.12051527 0.11031217 0.10623219 0.50372841]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34773558 0.12286334 0.45396244 0.07543864]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32081617 0.24284137 0.22228187 0.2140606 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10035358 0.61892021 0.11460126 0.16612495]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22877852 0.59067167 0.18054981]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10117426 0.52738528 0.25306702 0.11837345]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.7658911 0.2341089]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16528317 0.33323152 0.23097376 0.27051156]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26334007 0. 0.30072774 0.43593218]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40819453 0.30898231 0.28282316 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.0974734 0.07399361 0.14287115 0.68566184]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18616329 0.16079744 0.65303928]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41942148 0.28084349 0.10681469 0.19292035]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22657407 0.45680164 0.31662429 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46957946 0.31442914 0. 0.2159914 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18836432 0.69597915 0.11565653]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13545292 0.70606774 0. 0.15847934]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20583335 0.34369711 0.45046953]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59894683 0.40105317 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53655436 0.46344564 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10526213 0. 0.15428743 0.74045044]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78603416 0.09954409 0.11442175]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40555696 0. 0.59444304 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52210114 0.47789886 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4608304 0. 0. 0.5391696]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26108675 0.50005635 0.23885689]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52223236 0. 0.47776764]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.40823144 0.59176856]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46523356 0.53476644]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.59062105 0.40937895 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21299905 0.78700095 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43277707 0.56722293]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
Iteration 6, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16265733 0.13992203 0.10089246 0.11103186 0.48549632]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33366893 0.12947634 0.45746079 0.07939394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20251446 0.32696281 0.47052273]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41983148 0.28579155 0.10183509 0.19254187]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61501348 0.23864881 0. 0.14633771]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31614415 0.27195536 0.19609667 0.21580382 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25674795 0.49409711 0.24915494]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18721592 0.16179673 0.65098735]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51994211 0.35393978 0.12611811 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1546326 0.31121755 0.23610877 0.29804108]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59497984 0.40502016 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53641585 0.46358415 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34194531 0.65805469 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43423732 0. 0.26934704 0.29641564 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09947018 0.59327661 0.13046215 0.17679106]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.36814473 0.27929722 0.35255805]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12083224 0.72068776 0.15847999 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80577632 0.08656098 0.1076627 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14358808 0.85641192 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22770588 0.59206084 0.18023328]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09996562 0.53338064 0.24722191 0.11943182]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.40999215 0.59000785]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61988876 0. 0.38011124]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21423376 0. 0.52981495 0.25595128]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61717875 0. 0.38282125 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.67426536 0.32573464]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.76662611 0.23337389]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1030375 0.07779617 0.14607501 0.67309131]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88213477 0. 0.11786523]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3151874 0.23797524 0.44683736 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56979155 0.43020845 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.56861427 0.43138573 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16265733 0.13992203 0.10089246 0.11103186 0.48549632]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09947018 0.59327661 0.13046215 0.17679106]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18297319 0.15739825 0.1134939 0. 0.54613466]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09996562 0.53338064 0.24722191 0.11943182]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22770588 0.59206084 0.18023328]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1546326 0.31121755 0.23610877 0.29804108]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27776912 0.72223088 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.6588084 0.14487266 0.19631894]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80577632 0.08656098 0.1076627 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1030375 0.07779617 0.14607501 0.67309131]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44567677 0.55432323]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.77042139 0. 0.22957861]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13279561 0.70854964 0. 0.15865476]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20251446 0.32696281 0.47052273]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41983148 0.28579155 0.10183509 0.19254187]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.40999215 0.59000785]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33366893 0.12947634 0.45746079 0.07939394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45563713 0. 0. 0.54436287]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61501348 0.23864881 0. 0.14633771]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58782766 0. 0.14258455 0.26958778]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18721592 0.16179673 0.65098735]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3151874 0.23797524 0.44683736 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25674795 0.49409711 0.24915494]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19906484 0.80093516]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34593431 0.65406569]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22450137 0. 0.3427915 0.43270714]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39574156 0. 0.60425844 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80779211 0. 0. 0.19220789]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20639811 0.17754898 0. 0. 0.61605291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56979155 0.43020845 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34194531 0.65805469 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.2237255 0. 0. 0.7762745]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16265733 0.13992203 0.10089246 0.11103186 0.48549632]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25674795 0.49409711 0.24915494]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18911929 0. 0.11730618 0.12909511 0.56447942]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33366893 0.12947634 0.45746079 0.07939394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20251446 0.32696281 0.47052273]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09996562 0.53338064 0.24722191 0.11943182]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30089639 0. 0.69910361]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41983148 0.28579155 0.10183509 0.19254187]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61501348 0.23864881 0. 0.14633771]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43423732 0. 0.26934704 0.29641564 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21423376 0. 0.52981495 0.25595128]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22770588 0.59206084 0.18023328]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09947018 0.59327661 0.13046215 0.17679106]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1546326 0.31121755 0.23610877 0.29804108]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58782766 0. 0.14258455 0.26958778]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18721592 0.16179673 0.65098735]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34593431 0.65406569]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.36814473 0.27929722 0.35255805]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12083224 0.72068776 0.15847999 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55818587 0. 0.44181413]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.56861427 0.43138573 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80577632 0.08656098 0.1076627 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1030375 0.07779617 0.14607501 0.67309131]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53641585 0.46358415 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.66477732 0.33522268]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11172964 0. 0.15839775 0.72987261]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13275825 0. 0. 0.86724175]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44567677 0.55432323]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45563713 0. 0. 0.54436287]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61988876 0. 0.38011124]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59431405 0. 0. 0.40568595 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43260634 0. 0.56739366 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16265733 0.13992203 0.10089246 0.11103186 0.48549632]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1030375 0.07779617 0.14607501 0.67309131]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80577632 0.08656098 0.1076627 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1546326 0.31121755 0.23610877 0.29804108]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90299522 0.09700478 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3151874 0.23797524 0.44683736 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.16710248 0.12049125 0.13260026 0.57980602]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25674795 0.49409711 0.24915494]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34750418 0.65249582 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18721592 0.16179673 0.65098735]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41983148 0.28579155 0.10183509 0.19254187]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53641585 0.46358415 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50750441 0. 0.49249559]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.14466515 0.15920358 0.69613127]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33366893 0.12947634 0.45746079 0.07939394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20251446 0.32696281 0.47052273]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09996562 0.53338064 0.24722191 0.11943182]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30089639 0. 0.69910361]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61501348 0.23864881 0. 0.14633771]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.47607778 0.52392222 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09947018 0.59327661 0.13046215 0.17679106]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22770588 0.59206084 0.18023328]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2445647 0. 0.32076381 0.43467149]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20242751 0.40741082 0. 0.39016167]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49260093 0.17552675 0.33187232]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34593431 0.65406569]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61988876 0. 0.38011124]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.51081353 0. 0.48918647]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43260634 0. 0.56739366 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21423376 0. 0.52981495 0.25595128]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28792975 0. 0.71207025 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55818587 0. 0.44181413]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16265733 0.13992203 0.10089246 0.11103186 0.48549632]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1030375 0.07779617 0.14607501 0.67309131]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80577632 0.08656098 0.1076627 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3151874 0.23797524 0.44683736 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.16710248 0.12049125 0.13260026 0.57980602]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33366893 0.12947634 0.45746079 0.07939394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20251446 0.32696281 0.47052273]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61501348 0.23864881 0. 0.14633771]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.39767936 0.28675148 0.31556916 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25674795 0.49409711 0.24915494]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34750418 0.65249582 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50750441 0. 0.49249559]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.47607778 0.52392222 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09947018 0.59327661 0.13046215 0.17679106]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1546326 0.31121755 0.23610877 0.29804108]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22770588 0.59206084 0.18023328]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12083224 0.72068776 0.15847999 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55818587 0. 0.44181413]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09996562 0.53338064 0.24722191 0.11943182]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.59262252 0.27468052 0.13269696]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38247999 0.61752001 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41983148 0.28579155 0.10183509 0.19254187]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18721592 0.16179673 0.65098735]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49260093 0.17552675 0.33187232]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.67426536 0.32573464]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61988876 0. 0.38011124]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22450137 0. 0.3427915 0.43270714]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43260634 0. 0.56739366 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44567677 0.55432323]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39574156 0. 0.60425844 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34593431 0.65406569]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53641585 0.46358415 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
Iteration 7, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16095418 0.13138346 0.10440091 0.10480591 0.49845555]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25660361 0.51660884 0.22678754]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10243483 0.0724518 0.15543055 0.66968282]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548233 0.16238757 0.6521301 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41765596 0.28902002 0.10235129 0.19097273]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18354203 0.35853018 0.45792779]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58743703 0. 0.14395805 0.26860493]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34173179 0.11442112 0.46196315 0.08188394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43912876 0.56087124]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6351457 0.2126641 0. 0.1521902]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18529946 0. 0.12019217 0.12065843 0.57384994]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58287404 0. 0.41712596]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80317334 0. 0.19682666 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53319454 0.46680546 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11043613 0. 0.1675714 0.72199247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80041301 0.09034671 0.10924028]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3972415 0. 0.6027585 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53084052 0. 0.46915948]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4348221 0. 0.2820419 0.28313601 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09110724 0.5196956 0.26121532 0.12798184]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18968646 0. 0.54385369 0.26645986]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60563714 0. 0. 0.39436286 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10560198 0.60053951 0.12514471 0.16871381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24164812 0.56673805 0.19161383]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26436151 0. 0.31328431 0.42235418]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.42586721 0.57413279]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15266411 0.32431414 0.22787178 0.29514996]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55774138 0. 0.44225862]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22593948 0. 0.33724515 0.43681536]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45266833 0.54733167]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34090959 0. 0. 0.65909041]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.6711645 0.3288355]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16095418 0.13138346 0.10440091 0.10480591 0.49845555]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34173179 0.11442112 0.46196315 0.08188394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18354203 0.35853018 0.45792779]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6351457 0.2126641 0. 0.1521902]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32091708 0.26195775 0.20815884 0.20896634 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09110724 0.5196956 0.26121532 0.12798184]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58287404 0. 0.41712596]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41765596 0.28902002 0.10235129 0.19097273]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548233 0.16238757 0.6521301 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10243483 0.0724518 0.15543055 0.66968282]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80041301 0.09034671 0.10924028]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10560198 0.60053951 0.12514471 0.16871381]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15266411 0.32431414 0.22787178 0.29514996]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24164812 0.56673805 0.19161383]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12703444 0.72242209 0.15054347 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55774138 0. 0.44225862]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22593948 0. 0.33724515 0.43681536]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45765329 0. 0.54234671 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87990998 0. 0.12009002]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31011051 0.21934008 0.4705494 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25660361 0.51660884 0.22678754]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19936653 0.80063347]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.4963046 0.17575742 0.32793798]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1044786 0.59596878 0.29955261 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14915982 0.85084018 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33859332 0.66140668 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73848035 0.26151965 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4011819 0. 0.5988181 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40527961 0.33082108 0. 0.26389931 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58572134 0.41427866 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.55626323 0. 0.44373677 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33186689 0.66813311 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16095418 0.13138346 0.10440091 0.10480591 0.49845555]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10243483 0.0724518 0.15543055 0.66968282]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80041301 0.09034671 0.10924028]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31011051 0.21934008 0.4705494 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.15658675 0.12442814 0.12491083 0.59407429]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10560198 0.60053951 0.12514471 0.16871381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24164812 0.56673805 0.19161383]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15266411 0.32431414 0.22787178 0.29514996]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45266833 0.54733167]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26436151 0. 0.31328431 0.42235418]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1977186 0.42002628 0. 0.38225512]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45765329 0. 0.54234671 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.17893805 0.1421891 0. 0.67887285]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09110724 0.5196956 0.26121532 0.12798184]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18354203 0.35853018 0.45792779]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41765596 0.28902002 0.10235129 0.19097273]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43912876 0.56087124]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34173179 0.11442112 0.46196315 0.08188394]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18968646 0. 0.54385369 0.26645986]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6351457 0.2126641 0. 0.1521902]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.20859848 0. 0. 0.79140152]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58287404 0. 0.41712596]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58743703 0. 0.14395805 0.26860493]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548233 0.16238757 0.6521301 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.3179351 0.6820649 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25660361 0.51660884 0.22678754]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19936653 0.80063347]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34893593 0.65106407]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25859042 0. 0.74140958 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.29892659 0.70107341 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.32006514 0.67993486 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33186689 0.66813311 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16095418 0.13138346 0.10440091 0.10480591 0.49845555]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25660361 0.51660884 0.22678754]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10243483 0.0724518 0.15543055 0.66968282]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80041301 0.09034671 0.10924028]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31011051 0.21934008 0.4705494 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53084052 0. 0.46915948]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18529946 0. 0.12019217 0.12065843 0.57384994]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34173179 0.11442112 0.46196315 0.08188394]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09110724 0.5196956 0.26121532 0.12798184]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24164812 0.56673805 0.19161383]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10560198 0.60053951 0.12514471 0.16871381]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4348221 0. 0.2820419 0.28313601 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12332042 0.70344664 0. 0.17323294]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18354203 0.35853018 0.45792779]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.41584564 0. 0. 0.58415436]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60563714 0. 0. 0.39436286 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.67144548 0.1399206 0.18863392]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55774138 0. 0.44225862]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15266411 0.32431414 0.22787178 0.29514996]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.42586721 0.57413279]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21659091 0.46011794 0.32329115 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37220979 0.12462599 0.50316422 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58572134 0.41427866 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548233 0.16238757 0.6521301 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41765596 0.28902002 0.10235129 0.19097273]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19851535 0.80148465 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2861273 0. 0.7138727]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5162446 0.35724385 0.12651154 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80317334 0. 0.19682666 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53319454 0.46680546 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45266833 0.54733167]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4011819 0. 0.5988181 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16095418 0.13138346 0.10440091 0.10480591 0.49845555]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34173179 0.11442112 0.46196315 0.08188394]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09110724 0.5196956 0.26121532 0.12798184]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18354203 0.35853018 0.45792779]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18968646 0. 0.54385369 0.26645986]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37220979 0.12462599 0.50316422 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41765596 0.28902002 0.10235129 0.19097273]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18548233 0.16238757 0.6521301 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10243483 0.0724518 0.15543055 0.66968282]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80041301 0.09034671 0.10924028]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31011051 0.21934008 0.4705494 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19936653 0.80063347]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25660361 0.51660884 0.22678754]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3972415 0. 0.6027585 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53084052 0. 0.46915948]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32091708 0.26195775 0.20815884 0.20896634 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.38575223 0.30652933 0.30771844 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10560198 0.60053951 0.12514471 0.16871381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24164812 0.56673805 0.19161383]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15266411 0.32431414 0.22787178 0.29514996]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26436151 0. 0.31328431 0.42235418]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21659091 0.46011794 0.32329115 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.4963046 0.17575742 0.32793798]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2861273 0. 0.7138727]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42520087 0. 0.57479913 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34893593 0.65106407]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.5572187 0.4427813 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25859042 0. 0.74140958 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.5873278 0.4126722 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45266833 0.54733167]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.29892659 0.70107341 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45765329 0. 0.54234671 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
Iteration 8, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16342809 0.13055563 0.10092298 0.12421244 0.48088086]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34205968 0.11843534 0.45989963 0.07960535]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1888447 0.35278951 0.45836579]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63332613 0.21928396 0. 0.14738991]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41585431 0.29169367 0.10277877 0.18967324]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18397226 0.16290222 0.65312552]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10169655 0.07253137 0.1624337 0.66333839]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78863406 0.09287678 0.11848916]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3020735 0.21544293 0.48248357 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27526262 0.50215931 0.22257807]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31481808 0.25149454 0.19441198 0.2392754 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09811704 0.51879168 0.26022538 0.12286589]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81121188 0. 0. 0.18878812]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3907929 0.31218754 0. 0.29701956 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58369837 0.41630163 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.51244895 0. 0.48755105 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09572435 0.6170574 0.12259295 0.16462529]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15328283 0.34347731 0.22455284 0.27868703]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2341489 0.57951715 0.18633395]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11458852 0.73865943 0.14675205 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55685719 0. 0.44314281]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11186093 0.59146222 0.29667685 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34865726 0.65134274 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27380805 0. 0.72619195 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23347681 0. 0.34203362 0.42448956]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43846434 0. 0.56153566 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69288452 0.30711548]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19962829 0.80037171]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.4993509 0.17594716 0.32470195]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73945259 0.26054741 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4056865 0. 0.5943135 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.43941223 0.56058777]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16342809 0.13055563 0.10092298 0.12421244 0.48088086]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34205968 0.11843534 0.45989963 0.07960535]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31481808 0.25149454 0.19441198 0.2392754 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10169655 0.07253137 0.1624337 0.66333839]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78863406 0.09287678 0.11848916]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3020735 0.21544293 0.48248357 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27526262 0.50215931 0.22257807]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58369837 0.41630163 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18397226 0.16290222 0.65312552]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41585431 0.29169367 0.10277877 0.18967324]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15328283 0.34347731 0.22455284 0.27868703]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46349139 0.32510786 0. 0.21140075]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1888447 0.35278951 0.45836579]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18000925 0.69899901 0.12099174]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34865726 0.65134274 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09811704 0.51879168 0.26022538 0.12286589]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.36704784 0.28373776 0.3492144 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55291306 0. 0.44708694]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.44827678 0.55172322 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.57523172 0.28853565 0.13623264]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.59803541 0. 0.40196459]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.66595676 0.33404324 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68676365 0. 0. 0.31323635]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53037127 0.46962873 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09572435 0.6170574 0.12259295 0.16462529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2341489 0.57951715 0.18633395]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2499705 0. 0.32013402 0.42989548]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.43941223 0.56058777]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.40565766 0.26520406 0.32913827]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55685719 0. 0.44314281]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.44621432 0.55378568]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36767614 0. 0. 0.63232386]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16342809 0.13055563 0.10092298 0.12421244 0.48088086]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09811704 0.51879168 0.26022538 0.12286589]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34205968 0.11843534 0.45989963 0.07960535]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41585431 0.29169367 0.10277877 0.18967324]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18397226 0.16290222 0.65312552]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.4993509 0.17594716 0.32470195]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1888447 0.35278951 0.45836579]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38801428 0. 0.52168565 0.09030006]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11186093 0.59146222 0.29667685 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2341489 0.57951715 0.18633395]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09572435 0.6170574 0.12259295 0.16462529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55685719 0. 0.44314281]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15904628 0.84095372 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34865726 0.65134274 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18177318 0.14521073 0. 0.1381555 0.53486059]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2499705 0. 0.32013402 0.42989548]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15328283 0.34347731 0.22455284 0.27868703]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78863406 0.09287678 0.11848916]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10169655 0.07253137 0.1624337 0.66333839]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.43941223 0.56058777]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43846434 0. 0.56153566 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19767024 0.44294096 0. 0.3593888 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21091181 0.16848832 0. 0. 0.62059988]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27526262 0.50215931 0.22257807]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53037127 0.46962873 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35407107 0.64592893 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3020735 0.21544293 0.48248357 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25364864 0. 0. 0. 0.74635136]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42652996 0. 0.57347004 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35143808 0.64856192]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58369837 0.41630163 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.30856507 0.69143493 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16342809 0.13055563 0.10092298 0.12421244 0.48088086]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27526262 0.50215931 0.22257807]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18397226 0.16290222 0.65312552]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41585431 0.29169367 0.10277877 0.18967324]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53037127 0.46962873 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35407107 0.64592893 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10169655 0.07253137 0.1624337 0.66333839]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18796843 0. 0.11607756 0.14286416 0.55308986]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34205968 0.11843534 0.45989963 0.07960535]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42059557 0. 0.25973355 0.31967088 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09811704 0.51879168 0.26022538 0.12286589]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18000925 0.69899901 0.12099174]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1888447 0.35278951 0.45836579]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11186093 0.59146222 0.29667685 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29178251 0. 0.70821749]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.4993509 0.17594716 0.32470195]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.59803541 0. 0.40196459]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27380805 0. 0.72619195 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2341489 0.57951715 0.18633395]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09572435 0.6170574 0.12259295 0.16462529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55685719 0. 0.44314281]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56816781 0. 0. 0.43183219 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1214191 0.08659776 0. 0.79198314]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78863406 0.09287678 0.11848916]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2499705 0. 0.32013402 0.42989548]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15328283 0.34347731 0.22455284 0.27868703]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8693792 0. 0.1306208]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.58369837 0.41630163 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43846434 0. 0.56153566 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19767024 0.44294096 0. 0.3593888 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35484612 0. 0. 0.64515388]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35143808 0.64856192]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16342809 0.13055563 0.10092298 0.12421244 0.48088086]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34205968 0.11843534 0.45989963 0.07960535]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1888447 0.35278951 0.45836579]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63332613 0.21928396 0. 0.14738991]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41585431 0.29169367 0.10277877 0.18967324]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81121188 0. 0. 0.18878812]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31481808 0.25149454 0.19441198 0.2392754 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09811704 0.51879168 0.26022538 0.12286589]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11186093 0.59146222 0.29667685 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34865726 0.65134274 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27380805 0. 0.72619195 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2341489 0.57951715 0.18633395]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15328283 0.34347731 0.22455284 0.27868703]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51319336 0.35997043 0.12683621 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18397226 0.16290222 0.65312552]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27526262 0.50215931 0.22257807]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3907929 0.31218754 0. 0.29701956 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69288452 0.30711548]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10169655 0.07253137 0.1624337 0.66333839]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56816781 0. 0. 0.43183219 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09572435 0.6170574 0.12259295 0.16462529]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28777027 0.71222973 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2499705 0. 0.32013402 0.42989548]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78863406 0.09287678 0.11848916]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.40565766 0.26520406 0.32913827]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.08074261 0.18082275 0.73843464]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8946391 0.1053609 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.30869 0.69131 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21977392 0. 0.78022608]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73945259 0.26054741 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.44621432 0.55378568]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36767614 0. 0. 0.63232386]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 9, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16221735 0.11988316 0.11342227 0.10983845 0.49463877]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33602297 0.12726932 0.44519549 0.09151222]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16893394 0.34225923 0.48880683]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60566013 0.22939489 0. 0.16494498]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32099286 0.23722271 0.22443802 0.21734642 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26752442 0.49475821 0.23771737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.097059 0.07478836 0.14904564 0.679107 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7877769 0.09643926 0.11578384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30246529 0.23306324 0.46447147 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42082121 0. 0.29423794 0.28494086 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33412422 0.66587578 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52949781 0. 0.47050219]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18308337 0.16320517 0.65371147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39180219 0.2950084 0.09730205 0.21588737]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52870178 0.47129822 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50802609 0.49197391 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09773714 0.53692676 0.25454888 0.11078722]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33046988 0.66953012 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21106196 0. 0.54969464 0.2392434 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24994578 0.57413822 0.175916 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46870852 0. 0. 0.53129148]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58171874 0. 0.41828126]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48505337 0.15998421 0.35496242]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.31068115 0.68931885]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08252053 0.66727564 0.10251687 0.14768697]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.76546229 0.23453771]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24801468 0. 0.3081135 0.44387183]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1610215 0.31826207 0.24350235 0.27721408]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.40973339 0.59026661]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45442395 0.54557605]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22277896 0.44032688 0.33689416 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.56654009 0.43345991 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16221735 0.11988316 0.11342227 0.10983845 0.49463877]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33602297 0.12726932 0.44519549 0.09151222]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16893394 0.34225923 0.48880683]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09773714 0.53692676 0.25454888 0.11078722]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24994578 0.57413822 0.175916 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13111141 0.72027091 0. 0.14861768]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32099286 0.23722271 0.22443802 0.21734642 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.82895658 0. 0.17104342]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2568397 0. 0.7431603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60566013 0.22939489 0. 0.16494498]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39180219 0.2950084 0.09730205 0.21588737]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18308337 0.16320517 0.65371147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48505337 0.15998421 0.35496242]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.31068115 0.68931885]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1610215 0.31826207 0.24350235 0.27721408]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08252053 0.66727564 0.10251687 0.14768697]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41388421 0.30587201 0. 0.28024377 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26752442 0.49475821 0.23771737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.097059 0.07478836 0.14904564 0.679107 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52949781 0. 0.47050219]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52870178 0.47129822 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11405899 0.08788763 0. 0.79805338]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7877769 0.09643926 0.11578384]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.72729217 0.1117375 0.16097033]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87185826 0. 0.12814174]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56479772 0.43520228 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59626498 0. 0. 0.40373502 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.81878068 0. 0.18121932]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.76546229 0.23453771]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22277896 0.44032688 0.33689416 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3359629 0.6640371 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.78595395 0. 0. 0.21404605]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16221735 0.11988316 0.11342227 0.10983845 0.49463877]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33602297 0.12726932 0.44519549 0.09151222]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39180219 0.2950084 0.09730205 0.21588737]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18308337 0.16320517 0.65371147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48505337 0.15998421 0.35496242]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1610215 0.31826207 0.24350235 0.27721408]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24994578 0.57413822 0.175916 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08252053 0.66727564 0.10251687 0.14768697]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23619266 0. 0.35717882 0.40662851]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7877769 0.09643926 0.11578384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.097059 0.07478836 0.14904564 0.679107 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45442395 0.54557605]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36743137 0. 0. 0.63256863]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0968195 0.78289973 0.12028077 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11005728 0.88994272 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58691762 0. 0.41308238]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09773714 0.53692676 0.25454888 0.11078722]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32099286 0.23722271 0.22443802 0.21734642 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30246529 0.23306324 0.46447147 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34936703 0.33053852 0.32009445 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.59508907 0.28212275 0.12278818]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16893394 0.34225923 0.48880683]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69675261 0.30324739]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.57743363 0. 0.42256637]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2568397 0. 0.7431603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38502481 0. 0.51011785 0.10485734]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.78595395 0. 0. 0.21404605]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52186278 0. 0.47813722 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26752442 0.49475821 0.23771737]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33412422 0.66587578 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.67546035 0.32453965]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52870178 0.47129822 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16221735 0.11988316 0.11342227 0.10983845 0.49463877]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.097059 0.07478836 0.14904564 0.679107 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7877769 0.09643926 0.11578384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30246529 0.23306324 0.46447147 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18308337 0.16320517 0.65371147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39180219 0.2950084 0.09730205 0.21588737]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16893394 0.34225923 0.48880683]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09773714 0.53692676 0.25454888 0.11078722]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2568397 0. 0.7431603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33602297 0.12726932 0.44519549 0.09151222]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14309577 0.13538389 0.13110614 0.5904142 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19167729 0.67049833 0.13782437]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5557544 0. 0.13801873 0.30622686]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52870178 0.47129822 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26752442 0.49475821 0.23771737]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39438101 0. 0.60561899 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34936703 0.33053852 0.32009445 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35095175 0.64904825 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50802609 0.49197391 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21106196 0. 0.54969464 0.2392434 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58171874 0. 0.41828126]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.31068115 0.68931885]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27743691 0. 0.72256309 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24994578 0.57413822 0.175916 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08252053 0.66727564 0.10251687 0.14768697]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58691762 0. 0.41308238]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24801468 0. 0.3081135 0.44387183]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1610215 0.31826207 0.24350235 0.27721408]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.37934472 0.2902367 0.33041858]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44596676 0. 0.55403324 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.56654009 0.43345991 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45442395 0.54557605]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16221735 0.11988316 0.11342227 0.10983845 0.49463877]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.097059 0.07478836 0.14904564 0.679107 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7877769 0.09643926 0.11578384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30246529 0.23306324 0.46447147 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14309577 0.13538389 0.13110614 0.5904142 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26752442 0.49475821 0.23771737]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33412422 0.66587578 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18308337 0.16320517 0.65371147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39180219 0.2950084 0.09730205 0.21588737]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33602297 0.12726932 0.44519549 0.09151222]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.15799185 0.15299976 0.68900839]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19167729 0.67049833 0.13782437]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4996759 0.37623217 0.12409193 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52870178 0.47129822 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52949781 0. 0.47050219]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50802609 0.49197391 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09773714 0.53692676 0.25454888 0.11078722]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24994578 0.57413822 0.175916 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1610215 0.31826207 0.24350235 0.27721408]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.75197691 0.24802309 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16893394 0.34225923 0.48880683]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.82949338 0.17050662]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33046988 0.66953012 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13111141 0.72027091 0. 0.14861768]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.37934472 0.2902367 0.33041858]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.30330134 0.69669866 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08252053 0.66727564 0.10251687 0.14768697]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46870852 0. 0. 0.53129148]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24801468 0. 0.3081135 0.44387183]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45442395 0.54557605]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.3584615 0. 0. 0.6415385]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46762947 0.53237053]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 10, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17806998 0.10771309 0.11669371 0.11245417 0.48506907]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33339073 0.13386505 0.44291871 0.08982551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34581332 0.20917968 0.22662011 0.21838689 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09740789 0.5044788 0.28242575 0.11568756]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23754283 0.58502395 0.17743322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1018621 0.63298734 0.10597748 0.15917308]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5724254 0. 0.4275746]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13574608 0.70303359 0. 0.16122033]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18053084 0.3430952 0.47637397]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.20081486 0.66443527 0.13474987]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34477055 0.65522945 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4053226 0.27365216 0.10100491 0.22002032]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4571092 0. 0. 0.5428908]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44714548 0.27047468 0. 0.28237984 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09924899 0.07995304 0.14962601 0.67117195]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79538286 0.09814422 0.10647291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30182643 0.24314545 0.45502813 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26182288 0.48889674 0.24928038]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55383854 0.44616146 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16604248 0.13675408 0.69720344]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55802824 0. 0.1390586 0.30291316]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54836317 0.45163683 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.489233 0. 0.510767 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27754383 0. 0.28875702 0.43369916]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47964812 0.52035188]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39022364 0. 0. 0.60977636]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51227003 0. 0.48772997]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.59843853 0. 0.40156147]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15495691 0.33544441 0.24669835 0.26290033]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20570367 0.44529891 0. 0.34899742]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37083697 0. 0. 0.62916303]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.31463232 0.68536768]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17806998 0.10771309 0.11669371 0.11245417 0.48506907]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09924899 0.07995304 0.14962601 0.67117195]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79538286 0.09814422 0.10647291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30182643 0.24314545 0.45502813 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26182288 0.48889674 0.24928038]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55383854 0.44616146 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16604248 0.13675408 0.69720344]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51227003 0. 0.48772997]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.13104897 0.14197523 0.1368172 0.59015859]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33339073 0.13386505 0.44291871 0.08982551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.31975533 0.34641505 0.33382962 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09740789 0.5044788 0.28242575 0.11568756]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23754283 0.58502395 0.17743322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1018621 0.63298734 0.10597748 0.15917308]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15495691 0.33544441 0.24669835 0.26290033]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47964812 0.52035188]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12114514 0.75281526 0.12603959 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.489233 0. 0.510767 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.85658657 0.14341343 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5724254 0. 0.4275746]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13574608 0.70303359 0. 0.16122033]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18053084 0.3430952 0.47637397]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.20081486 0.66443527 0.13474987]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4053226 0.27365216 0.10100491 0.22002032]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19234667 0. 0.80765333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.46016909 0.16984825 0.36998266]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34477055 0.65522945 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4571092 0. 0. 0.5428908]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20570367 0.44529891 0. 0.34899742]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31597981 0.68402019 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.31463232 0.68536768]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.83139093 0.16860907]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17806998 0.10771309 0.11669371 0.11245417 0.48506907]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33339073 0.13386505 0.44291871 0.08982551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34581332 0.20917968 0.22662011 0.21838689 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09924899 0.07995304 0.14962601 0.67117195]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79538286 0.09814422 0.10647291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30182643 0.24314545 0.45502813 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.31975533 0.34641505 0.33382962 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09740789 0.5044788 0.28242575 0.11568756]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.489233 0. 0.510767 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26182288 0.48889674 0.24928038]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34825931 0.65174069 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51227003 0. 0.48772997]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16604248 0.13675408 0.69720344]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4053226 0.27365216 0.10100491 0.22002032]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18053084 0.3430952 0.47637397]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.55892223 0.31290519 0.12817258]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23754283 0.58502395 0.17743322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1018621 0.63298734 0.10597748 0.15917308]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5724254 0. 0.4275746]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.81345721 0. 0.18654279]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2748204 0. 0.7251796]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.20081486 0.66443527 0.13474987]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55802824 0. 0.1390586 0.30291316]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.59843853 0. 0.40156147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80051467 0. 0.19948533 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54836317 0.45163683 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27754383 0. 0.28875702 0.43369916]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.39968794 0.60031206]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47964812 0.52035188]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15495691 0.33544441 0.24669835 0.26290033]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21022518 0.4550869 0.33468791 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31597981 0.68402019 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17806998 0.10771309 0.11669371 0.11245417 0.48506907]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33339073 0.13386505 0.44291871 0.08982551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34581332 0.20917968 0.22662011 0.21838689 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26182288 0.48889674 0.24928038]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43728431 0. 0.28656334 0.27615235 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09740789 0.5044788 0.28242575 0.11568756]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23754283 0.58502395 0.17743322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1018621 0.63298734 0.10597748 0.15917308]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5724254 0. 0.4275746]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13574608 0.70303359 0. 0.16122033]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18053084 0.3430952 0.47637397]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4571092 0. 0. 0.5428908]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61292661 0. 0. 0.38707339 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09924899 0.07995304 0.14962601 0.67117195]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.66230275 0.33769725]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11671217 0.09402103 0. 0.78926679]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16604248 0.13675408 0.69720344]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4053226 0.27365216 0.10100491 0.22002032]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54836317 0.45163683 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12882437 0. 0. 0.87117563]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79538286 0.09814422 0.10647291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27754383 0. 0.28875702 0.43369916]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15495691 0.33544441 0.24669835 0.26290033]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49009962 0. 0.50990038 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47964812 0.52035188]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21022518 0.4550869 0.33468791 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.20081486 0.66443527 0.13474987]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2748204 0. 0.7251796]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.46016909 0.16984825 0.36998266]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.59843853 0. 0.40156147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73040703 0.26959297 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31597981 0.68402019 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17806998 0.10771309 0.11669371 0.11245417 0.48506907]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1018621 0.63298734 0.10597748 0.15917308]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23754283 0.58502395 0.17743322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27754383 0. 0.28875702 0.43369916]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15495691 0.33544441 0.24669835 0.26290033]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4053226 0.27365216 0.10100491 0.22002032]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16604248 0.13675408 0.69720344]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.46016909 0.16984825 0.36998266]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18053084 0.3430952 0.47637397]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09740789 0.5044788 0.28242575 0.11568756]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2748204 0. 0.7251796]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.31463232 0.68536768]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33339073 0.13386505 0.44291871 0.08982551]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39695539 0.29193582 0.31110879]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79538286 0.09814422 0.10647291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09924899 0.07995304 0.14962601 0.67117195]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47964812 0.52035188]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49009962 0. 0.50990038 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20063187 0.12136059 0.13147908 0. 0.54652847]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38491777 0. 0.51137379 0.10370845]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.78775505 0. 0. 0.21224495]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44243542 0.2676256 0.28993899 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30182643 0.24314545 0.45502813 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.47999031 0.52000969 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19657664 0. 0.56995695 0.23346642]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5724254 0. 0.4275746]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4571092 0. 0. 0.5428908]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26182288 0.48889674 0.24928038]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54836317 0.45163683 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34876254 0.65123746 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34825931 0.65174069 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.56062063 0. 0.43937937]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 11, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16546114 0.122008 0.12687186 0.12924442 0.45641458]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32854909 0.14699202 0.43723231 0.08722658]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30438848 0.22445046 0.23339821 0.23776285 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2581704 0.48456371 0.25726589]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09422393 0.07712907 0.13948637 0.68916063]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75410021 0.12553504 0.12036475]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30312738 0.24813161 0.448741 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50087742 0. 0.49912258]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39248103 0. 0.30094558 0.30657339 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09745247 0.63721589 0.12950299 0.13582866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21389617 0.62492138 0.16118245]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26862387 0. 0.35696983 0.3744063 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18346252 0.30984391 0.23993902 0.26675455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51051302 0.48948698]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.4293903 0. 0.5706097 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24137868 0.40765665 0. 0.35096467]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56600226 0. 0.43399774 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.54988197 0.45011803 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09479975 0.50879743 0.27228641 0.12411641]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17219263 0.36625619 0.46155118]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21891701 0.65117539 0.1299076 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31979386 0.68020614 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259734 0.24796042 0.09551867 0.23054751]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62758476 0. 0.37241524]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55360585 0.32225565 0.12413849 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19299523 0. 0.55432611 0.25267866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.57027022 0. 0.42972978]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37190377 0.62809623 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43304137 0. 0. 0.56695863]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1794617 0.13943033 0.68110797]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.81683581 0. 0.18316419 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56276634 0.43723366 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16546114 0.122008 0.12687186 0.12924442 0.45641458]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2581704 0.48456371 0.25726589]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09422393 0.07712907 0.13948637 0.68916063]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75410021 0.12553504 0.12036475]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30312738 0.24813161 0.448741 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18845404 0. 0.1445023 0.14720456 0.5198391 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32854909 0.14699202 0.43723231 0.08722658]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09479975 0.50879743 0.27228641 0.12411641]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17219263 0.36625619 0.46155118]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35994594 0.1610389 0.47901516 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31979386 0.68020614 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259734 0.24796042 0.09551867 0.23054751]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19299523 0. 0.55432611 0.25267866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21389617 0.62492138 0.16118245]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18346252 0.30984391 0.23993902 0.26675455]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25499725 0.74500275 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09745247 0.63721589 0.12950299 0.13582866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43304137 0. 0. 0.56695863]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39248103 0. 0.30094558 0.30657339 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26862387 0. 0.35696983 0.3744063 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56600226 0. 0.43399774 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.69089523 0.30910477 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.35606452 0.64393548 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1794617 0.13943033 0.68110797]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56642418 0. 0.12701283 0.306563 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56276634 0.43723366 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50087742 0. 0.49912258]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51051302 0.48948698]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26582758 0. 0.34765906 0.38651336]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.29294259 0.70705741]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.47353871 0.52646129]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.48807969 0.51192031]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16546114 0.122008 0.12687186 0.12924442 0.45641458]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32854909 0.14699202 0.43723231 0.08722658]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30438848 0.22445046 0.23339821 0.23776285 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09745247 0.63721589 0.12950299 0.13582866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21389617 0.62492138 0.16118245]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18346252 0.30984391 0.23993902 0.26675455]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26862387 0. 0.35696983 0.3744063 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25020615 0.42256507 0.32722878 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25499725 0.74500275 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.4293903 0. 0.5706097 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75410021 0.12553504 0.12036475]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09422393 0.07712907 0.13948637 0.68916063]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51051302 0.48948698]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43330622 0. 0.56669378 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259734 0.24796042 0.09551867 0.23054751]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1794617 0.13943033 0.68110797]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.43196677 0.16640113 0.4016321 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17219263 0.36625619 0.46155118]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09479975 0.50879743 0.27228641 0.12411641]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13027069 0.69917263 0. 0.17055667]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39933567 0.29446276 0.30620156 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30312738 0.24813161 0.448741 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2581704 0.48456371 0.25726589]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.54988197 0.45011803 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.49022849 0.50977151 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.80389683 0. 0.19610317]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.271707 0. 0.728293]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21891701 0.65117539 0.1299076 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.29294259 0.70705741]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62758476 0. 0.37241524]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50087742 0. 0.49912258]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56276634 0.43723366 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16546114 0.122008 0.12687186 0.12924442 0.45641458]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32854909 0.14699202 0.43723231 0.08722658]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259734 0.24796042 0.09551867 0.23054751]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38516532 0. 0.51257705 0.10225763]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30438848 0.22445046 0.23339821 0.23776285 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2581704 0.48456371 0.25726589]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39248103 0. 0.30094558 0.30657339 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09422393 0.07712907 0.13948637 0.68916063]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.4953682 0.5046318 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09745247 0.63721589 0.12950299 0.13582866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21389617 0.62492138 0.16118245]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18346252 0.30984391 0.23993902 0.26675455]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26862387 0. 0.35696983 0.3744063 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09479975 0.50879743 0.27228641 0.12411641]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17219263 0.36625619 0.46155118]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19299523 0. 0.55432611 0.25267866]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.83368272 0.16631728]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.271707 0. 0.728293]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.68689322 0.31310678]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55360585 0.32225565 0.12413849 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25499725 0.74500275 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.48807969 0.51192031]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75410021 0.12553504 0.12036475]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25020615 0.42256507 0.32722878 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86235612 0. 0.13764388]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.08515248 0.15399653 0.760851 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37190377 0.62809623 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.65320082 0.34679918]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1794617 0.13943033 0.68110797]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.81683581 0. 0.18316419 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56276634 0.43723366 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.35606452 0.64393548 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16546114 0.122008 0.12687186 0.12924442 0.45641458]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32854909 0.14699202 0.43723231 0.08722658]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30438848 0.22445046 0.23339821 0.23776285 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2581704 0.48456371 0.25726589]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1794617 0.13943033 0.68110797]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09422393 0.07712907 0.13948637 0.68916063]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39248103 0. 0.30094558 0.30657339 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09745247 0.63721589 0.12950299 0.13582866]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21389617 0.62492138 0.16118245]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09479975 0.50879743 0.27228641 0.12411641]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17219263 0.36625619 0.46155118]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21891701 0.65117539 0.1299076 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31979386 0.68020614 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4259734 0.24796042 0.09551867 0.23054751]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.16992544 0.83007456]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.43196677 0.16640113 0.4016321 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18346252 0.30984391 0.23993902 0.26675455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75410021 0.12553504 0.12036475]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.08515248 0.15399653 0.760851 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34759465 0.65240535 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.10065263 0. 0.89934737]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51051302 0.48948698]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26862387 0. 0.35696983 0.3744063 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24137868 0.40765665 0. 0.35096467]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41774691 0. 0. 0.58225309]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37190377 0.62809623 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51819501 0. 0.48180499]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19299523 0. 0.55432611 0.25267866]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56600226 0. 0.43399774 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.68689322 0.31310678]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62758476 0. 0.37241524]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.79496035 0.20503965]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
Iteration 12, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16374544 0.11412719 0.09972983 0.12995244 0.4924451 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1056379 0.50587148 0.26319303 0.12529759]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21897658 0.61114858 0.16987484]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10217717 0.62524752 0.1405722 0.13200311]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16073387 0.34967885 0.21852343 0.27106386]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41656811 0.26624217 0.10731115 0.20987857]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17814144 0.34660127 0.47525729]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56771879 0. 0.14624872 0.28603248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.41664835 0.26037441 0.32297724]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56313689 0. 0.43686311]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.44634212 0.55365788]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79961458 0.09172449 0.10866093]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11771605 0.72033383 0.16195012 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14337256 0.68657261 0. 0.17005484]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.42172861 0.57827139]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33617616 0.12946232 0.44779815 0.08656337]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45743467 0. 0. 0.54256533]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18188478 0.12676993 0. 0.14434827 0.54699702]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42091631 0. 0.57908369 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2125687 0.148156 0. 0. 0.6392753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60879216 0.23444746 0. 0.15676038]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58928236 0.41071764 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26148126 0.49247225 0.24604648]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09325547 0.09038747 0.12535855 0.69099851]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88036567 0. 0.11963433]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30179617 0.29251468 0.40568915 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20493601 0.16090641 0.63415758]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42657588 0. 0.57342412 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51520585 0. 0.48479415]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.20238171 0.79761829]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.5992913 0. 0.4007087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.66496978 0. 0. 0.33503022]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16374544 0.11412719 0.09972983 0.12995244 0.4924451 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1056379 0.50587148 0.26319303 0.12529759]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21897658 0.61114858 0.16987484]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14337256 0.68657261 0. 0.17005484]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17814144 0.34660127 0.47525729]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33617616 0.12946232 0.44779815 0.08656337]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18188478 0.12676993 0. 0.14434827 0.54699702]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10217717 0.62524752 0.1405722 0.13200311]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.78249712 0.21750288]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16073387 0.34967885 0.21852343 0.27106386]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27265241 0. 0.37510679 0.3522408 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22050473 0.47971123 0.29978405 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79961458 0.09172449 0.10866093]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09325547 0.09038747 0.12535855 0.69099851]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45774035 0.54225965]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3149096 0.6850904 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42091631 0. 0.57908369 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2125687 0.148156 0. 0. 0.6392753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19502511 0.67457376 0.13040112]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41656811 0.26624217 0.10731115 0.20987857]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20493601 0.16090641 0.63415758]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.45633805 0.18393089 0.35973106]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3394834 0.6605166 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45743467 0. 0. 0.54256533]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.83800597 0.16199403]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58928236 0.41071764 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30179617 0.29251468 0.40568915 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56017563 0.43982437 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26148126 0.49247225 0.24604648]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.66683786 0.33316214]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42657588 0. 0.57342412 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33831849 0.66168151]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16374544 0.11412719 0.09972983 0.12995244 0.4924451 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1056379 0.50587148 0.26319303 0.12529759]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21897658 0.61114858 0.16987484]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14337256 0.68657261 0. 0.17005484]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17814144 0.34660127 0.47525729]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33617616 0.12946232 0.44779815 0.08656337]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3394834 0.6605166 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45743467 0. 0. 0.54256533]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60879216 0.23444746 0. 0.15676038]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18188478 0.12676993 0. 0.14434827 0.54699702]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.5992913 0. 0.4007087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41656811 0.26624217 0.10731115 0.20987857]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40150901 0.27984349 0. 0.31864751 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09325547 0.09038747 0.12535855 0.69099851]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79961458 0.09172449 0.10866093]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30179617 0.29251468 0.40568915 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20493601 0.16090641 0.63415758]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52722037 0.33696362 0.13581602 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79516054 0. 0.20483946 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56017563 0.43982437 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26148126 0.49247225 0.24604648]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42657588 0. 0.57342412 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.46758178 0. 0.53241822 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10217717 0.62524752 0.1405722 0.13200311]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.78249712 0.21750288]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27265241 0. 0.37510679 0.3522408 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51520585 0. 0.48479415]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.51571875 0.48428125]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45774035 0.54225965]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16073387 0.34967885 0.21852343 0.27106386]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.41664835 0.26037441 0.32297724]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.61541262 0.38458738 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16374544 0.11412719 0.09972983 0.12995244 0.4924451 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33617616 0.12946232 0.44779815 0.08656337]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41656811 0.26624217 0.10731115 0.20987857]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16073387 0.34967885 0.21852343 0.27106386]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21897658 0.61114858 0.16987484]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1056379 0.50587148 0.26319303 0.12529759]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17814144 0.34660127 0.47525729]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21378628 0. 0.53264084 0.25357288]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.78249712 0.21750288]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10217717 0.62524752 0.1405722 0.13200311]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24716075 0. 0.33602387 0.41681538]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46664424 0.29824745 0. 0.23510831]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27263818 0. 0.72736182]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38617071 0. 0.51439261 0.09943668]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45743467 0. 0. 0.54256533]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42881017 0. 0.57118983 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32261621 0.22485684 0.19649073 0.25603623 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11771605 0.72033383 0.16195012 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.44634212 0.55365788]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79961458 0.09172449 0.10866093]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09325547 0.09038747 0.12535855 0.69099851]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45774035 0.54225965]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42091631 0. 0.57908369 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43364505 0.30224165 0.2641133 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30179617 0.29251468 0.40568915 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.53366118 0.46633882 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26148126 0.49247225 0.24604648]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20493601 0.16090641 0.63415758]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.66496978 0. 0. 0.33503022]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56017563 0.43982437 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34681351 0.65318649 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.41895313 0.58104687 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16374544 0.11412719 0.09972983 0.12995244 0.4924451 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33617616 0.12946232 0.44779815 0.08656337]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32261621 0.22485684 0.19649073 0.25603623 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1056379 0.50587148 0.26319303 0.12529759]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17814144 0.34660127 0.47525729]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19502511 0.67457376 0.13040112]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21378628 0. 0.53264084 0.25357288]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21897658 0.61114858 0.16987484]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16073387 0.34967885 0.21852343 0.27106386]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10217717 0.62524752 0.1405722 0.13200311]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79961458 0.09172449 0.10866093]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22050473 0.47971123 0.29978405 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26378743 0.73621257 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45743467 0. 0. 0.54256533]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40150901 0.27984349 0. 0.31864751 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09325547 0.09038747 0.12535855 0.69099851]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8970936 0.1029064 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11888976 0.72751606 0. 0.15359418]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43631841 0. 0. 0.56368159]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4238122 0. 0.5761878 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41656811 0.26624217 0.10731115 0.20987857]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20493601 0.16090641 0.63415758]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30179617 0.29251468 0.40568915 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.20238171 0.79761829]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.45633805 0.18393089 0.35973106]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42657588 0. 0.57342412 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.46758178 0. 0.53241822 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26148126 0.49247225 0.24604648]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51520585 0. 0.48479415]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.55919045 0. 0.44080955]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.2242702 0.7757298 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3394834 0.6605166 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
Iteration 13, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13011232 0.10165876 0.09690866 0.11463125 0.55668901]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36690507 0.10752082 0.44542234 0.08015177]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20390798 0.32070995 0.47538208]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11677987 0.49071811 0.28653379 0.10596823]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30017807 0. 0.69982193]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.66159367 0.19387875 0. 0.14452758]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29350124 0.22931703 0.21860197 0.25857976 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10295776 0.08762001 0.14542737 0.66399485]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27104156 0.4667938 0.26216464]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32458235 0.30941593 0.36600172 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09687556 0.63849306 0.14423568 0.12039569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20020057 0.61666786 0.18313157]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795916 0.35143574 0.22583825 0.26476685]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26797706 0. 0.39898454 0.33303841]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.51196093 0.48803907 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.64035722 0.35964278]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12047865 0.1025308 0. 0.77699055]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79056089 0.10307435 0.10636477]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21484227 0.47799224 0.30716549 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88465725 0.11534275 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.54024013 0.45975987 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22930301 0. 0.56262316 0.20807383]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.245083 0.754917 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.52426875 0. 0. 0.47573125]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.57291703 0. 0.42708297]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42555869 0.26703276 0.11615538 0.19125317]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58059715 0. 0.15847281 0.26093004]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18320561 0.15207932 0.66471507]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.18619045 0.81380955]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37785344 0.62214656]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.54504376 0.45495624]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31009175 0.68990825 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13011232 0.10165876 0.09690866 0.11463125 0.55668901]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36690507 0.10752082 0.44542234 0.08015177]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29350124 0.22931703 0.21860197 0.25857976 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10295776 0.08762001 0.14542737 0.66399485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79056089 0.10307435 0.10636477]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30641721 0.26076985 0.43281294 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32458235 0.30941593 0.36600172 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11677987 0.49071811 0.28653379 0.10596823]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20390798 0.32070995 0.47538208]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42555869 0.26703276 0.11615538 0.19125317]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18320561 0.15207932 0.66471507]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.46485647 0.20220583 0.3329377 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.40285537 0.59714463]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.16983365 0.70356327 0.12660308]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22930301 0. 0.56262316 0.20807383]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20020057 0.61666786 0.18313157]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09687556 0.63849306 0.14423568 0.12039569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52226398 0. 0.47773602]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.52426875 0. 0. 0.47573125]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.57291703 0. 0.42708297]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37785344 0.62214656]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.47001134 0. 0.52998866 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27104156 0.4667938 0.26216464]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.37597509 0.62402491 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50832409 0. 0.49167591]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26797706 0. 0.39898454 0.33303841]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795916 0.35143574 0.22583825 0.26476685]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49214468 0.50785532]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20403896 0.45395648 0. 0.34200456]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37366794 0. 0. 0.62633206]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40178784 0. 0.59821216 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54641767 0.45358233 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13011232 0.10165876 0.09690866 0.11463125 0.55668901]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36690507 0.10752082 0.44542234 0.08015177]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29350124 0.22931703 0.21860197 0.25857976 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27104156 0.4667938 0.26216464]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10295776 0.08762001 0.14542737 0.66399485]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38083265 0. 0.28364708 0.33552027 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09687556 0.63849306 0.14423568 0.12039569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20020057 0.61666786 0.18313157]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11677987 0.49071811 0.28653379 0.10596823]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20390798 0.32070995 0.47538208]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42555869 0.26703276 0.11615538 0.19125317]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.40285537 0.59714463]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.16983365 0.70356327 0.12660308]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22930301 0. 0.56262316 0.20807383]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19445185 0.80554815 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.289551 0. 0.710449 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.77102813 0.22897187]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26797706 0. 0.39898454 0.33303841]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795916 0.35143574 0.22583825 0.26476685]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40178784 0. 0.59821216 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79056089 0.10307435 0.10636477]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.09767657 0.16211876 0.74020467]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18320561 0.15207932 0.66471507]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58059715 0. 0.15847281 0.26093004]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.78557806 0. 0.21442194 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54641767 0.45358233 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50832409 0. 0.49167591]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57312907 0. 0.42687093 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0.17966812 0.82033188]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49214468 0.50785532]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21484227 0.47799224 0.30716549 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41156911 0. 0.58843089 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13011232 0.10165876 0.09690866 0.11463125 0.55668901]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36690507 0.10752082 0.44542234 0.08015177]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20390798 0.32070995 0.47538208]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.66159367 0.19387875 0. 0.14452758]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29350124 0.22931703 0.21860197 0.25857976 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11677987 0.49071811 0.28653379 0.10596823]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38867901 0.61132099 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42555869 0.26703276 0.11615538 0.19125317]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18320561 0.15207932 0.66471507]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.46485647 0.20220583 0.3329377 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795916 0.35143574 0.22583825 0.26476685]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79056089 0.10307435 0.10636477]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10295776 0.08762001 0.14542737 0.66399485]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37561042 0.29347019 0. 0.3309194 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27104156 0.4667938 0.26216464]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54641767 0.45358233 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.09767657 0.16211876 0.74020467]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49214468 0.50785532]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09687556 0.63849306 0.14423568 0.12039569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20403896 0.45395648 0. 0.34200456]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.58267719 0. 0.41732281]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22930301 0. 0.56262316 0.20807383]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.57291703 0. 0.42708297]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.289551 0. 0.710449 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20020057 0.61666786 0.18313157]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.570325 0. 0.429675]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11320356 0.74610853 0. 0.14068791]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.245083 0.754917 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.53162713 0. 0. 0.46837287 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44587381 0. 0. 0.55412619]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.37597509 0.62402491 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36734693 0.63265307 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13011232 0.10165876 0.09690866 0.11463125 0.55668901]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36690507 0.10752082 0.44542234 0.08015177]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29350124 0.22931703 0.21860197 0.25857976 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27104156 0.4667938 0.26216464]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10295776 0.08762001 0.14542737 0.66399485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79056089 0.10307435 0.10636477]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30641721 0.26076985 0.43281294 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50832409 0. 0.49167591]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18320561 0.15207932 0.66471507]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.54024013 0.45975987 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.18619045 0.81380955]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42555869 0.26703276 0.11615538 0.19125317]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38083265 0. 0.28364708 0.33552027 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.45811052 0.54188948 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11677987 0.49071811 0.28653379 0.10596823]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20390798 0.32070995 0.47538208]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.16983365 0.70356327 0.12660308]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38867901 0.61132099 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.46485647 0.20220583 0.3329377 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.57291703 0. 0.42708297]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.69687115 0.30312885 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22930301 0. 0.56262316 0.20807383]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20020057 0.61666786 0.18313157]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09687556 0.63849306 0.14423568 0.12039569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52226398 0. 0.47773602]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.52426875 0. 0. 0.47573125]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26797706 0. 0.39898454 0.33303841]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795916 0.35143574 0.22583825 0.26476685]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24355205 0. 0.34821261 0.40823534]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49214468 0.50785532]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40178784 0. 0.59821216 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37366794 0. 0. 0.62633206]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
Iteration 14, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14855405 0.10600493 0.100502 0.09450547 0.55043354]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36597459 0.11058693 0.43584171 0.08759678]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21181735 0.3425561 0.44562655]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64870905 0.1960211 0. 0.15526986]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33043847 0.23579368 0.22355317 0.21021469 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1106194 0.09540489 0.15815767 0.63581804]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35216133 0.33387994 0.31395872 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28396063 0.49149553 0.22454384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.10727116 0.17782901 0.71489983]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80319713 0.09050979 0.10629309]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.37625778 0.62374222 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55842308 0. 0.44157692]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.51537514 0.48462486 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10027545 0.61992718 0.14020829 0.13958908]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21232471 0.61319074 0.17448455]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11359899 0.48348959 0.26872134 0.13419008]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38208422 0.61791578 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993553 0. 0.52026316 0.25980131]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.55800212 0. 0.44199788]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2971304 0. 0.7028696 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.77848163 0.22151837]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1535273 0.32616809 0.23982046 0.28048415]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2638322 0. 0.3688985 0.36726931]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21337584 0.45331605 0.3333081 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41697392 0. 0.58302608 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1907193 0.16897858 0.64030212]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41559299 0.27756796 0.11907262 0.18776643]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51166685 0.34173416 0.14659899 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53022081 0.46977919 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45990073 0.54009927]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39030933 0. 0.60969067 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.69979718 0.30020282 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14855405 0.10600493 0.100502 0.09450547 0.55043354]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1106194 0.09540489 0.15815767 0.63581804]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1907193 0.16897858 0.64030212]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41559299 0.27756796 0.11907262 0.18776643]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21181735 0.3425561 0.44562655]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36597459 0.11058693 0.43584171 0.08759678]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57526932 0. 0.1648219 0.25990878]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41147876 0. 0.49003294 0.0984883 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.12449989 0.11803686 0.11099409 0.64646915]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.83265125 0.16734875]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11359899 0.48348959 0.26872134 0.13419008]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38208422 0.61791578 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77729516 0. 0.22270484 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1535273 0.32616809 0.23982046 0.28048415]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21232471 0.61319074 0.17448455]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10027545 0.61992718 0.14020829 0.13958908]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489132 0. 0.4510868]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22784214 0. 0.35590547 0.41625239]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80319713 0.09050979 0.10629309]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12228609 0. 0.17483808 0.70287583]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45990073 0.54009927]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2638322 0. 0.3688985 0.36726931]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35374021 0. 0. 0.64625979]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53022081 0.46977919 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.4115656 0. 0.5884344 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28396063 0.49149553 0.22454384]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35216133 0.33387994 0.31395872 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.68640853 0.31359147]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.51537514 0.48462486 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993553 0. 0.52026316 0.25980131]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41805034 0. 0. 0.58194966]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.66694892 0.33305108]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14855405 0.10600493 0.100502 0.09450547 0.55043354]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36597459 0.11058693 0.43584171 0.08759678]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21181735 0.3425561 0.44562655]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11359899 0.48348959 0.26872134 0.13419008]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32218315 0. 0.67781685]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64870905 0.1960211 0. 0.15526986]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33043847 0.23579368 0.22355317 0.21021469 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28396063 0.49149553 0.22454384]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43239431 0. 0.29252986 0.27507583 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993553 0. 0.52026316 0.25980131]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.55800212 0. 0.44199788]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41559299 0.27756796 0.11907262 0.18776643]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57526932 0. 0.1648219 0.25990878]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1907193 0.16897858 0.64030212]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1106194 0.09540489 0.15815767 0.63581804]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80319713 0.09050979 0.10629309]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3037476 0.26197038 0.43428201 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.68640853 0.31359147]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.53692407 0.46307593 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.20880095 0.79119905]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.38806215 0.61193785]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2971304 0. 0.7028696 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21232471 0.61319074 0.17448455]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10027545 0.61992718 0.14020829 0.13958908]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45990073 0.54009927]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1535273 0.32616809 0.23982046 0.28048415]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1166276 0.72102019 0. 0.1623522 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21337584 0.45331605 0.3333081 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489132 0. 0.4510868]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61118383 0. 0. 0.38881617 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.13923227 0.86076773 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39030933 0. 0.60969067 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14855405 0.10600493 0.100502 0.09450547 0.55043354]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36597459 0.11058693 0.43584171 0.08759678]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21181735 0.3425561 0.44562655]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64870905 0.1960211 0. 0.15526986]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33043847 0.23579368 0.22355317 0.21021469 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1106194 0.09540489 0.15815767 0.63581804]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28396063 0.49149553 0.22454384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13140156 0.11332869 0. 0.75526975]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80319713 0.09050979 0.10629309]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.53692407 0.46307593 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35216133 0.33387994 0.31395872 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11359899 0.48348959 0.26872134 0.13419008]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38208422 0.61791578 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993553 0. 0.52026316 0.25980131]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52867547 0. 0.47132453 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10027545 0.61992718 0.14020829 0.13958908]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55842308 0. 0.44157692]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.68901886 0.15583468 0.15514646]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21232471 0.61319074 0.17448455]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.50110654 0.49889346]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45990073 0.54009927]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1535273 0.32616809 0.23982046 0.28048415]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41559299 0.27756796 0.11907262 0.18776643]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57526932 0. 0.1648219 0.25990878]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1907193 0.16897858 0.64030212]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.38806215 0.61193785]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.55800212 0. 0.44199788]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.66694892 0.33305108]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489132 0. 0.4510868]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.38532618 0.28331742 0.3313564 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.57628036 0.42371964 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53022081 0.46977919 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14855405 0.10600493 0.100502 0.09450547 0.55043354]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36597459 0.11058693 0.43584171 0.08759678]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21181735 0.3425561 0.44562655]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41559299 0.27756796 0.11907262 0.18776643]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64870905 0.1960211 0. 0.15526986]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33043847 0.23579368 0.22355317 0.21021469 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11359899 0.48348959 0.26872134 0.13419008]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43461512 0.56538488]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.55800212 0. 0.44199788]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993553 0. 0.52026316 0.25980131]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42557771 0.30368297 0. 0.27073932 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1106194 0.09540489 0.15815767 0.63581804]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80319713 0.09050979 0.10629309]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3037476 0.26197038 0.43428201 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1907193 0.16897858 0.64030212]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28396063 0.49149553 0.22454384]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.4115656 0. 0.5884344 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55842308 0. 0.44157692]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22949986 0. 0.77050014]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52867547 0. 0.47132453 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10027545 0.61992718 0.14020829 0.13958908]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21232471 0.61319074 0.17448455]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2638322 0. 0.3688985 0.36726931]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1535273 0.32616809 0.23982046 0.28048415]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45990073 0.54009927]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41697392 0. 0.58302608 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2019619 0.42906718 0. 0.36897093]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.32005165 0.67994835 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51166685 0.34173416 0.14659899 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.66694892 0.33305108]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489132 0. 0.4510868]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77729516 0. 0.22270484 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
Iteration 15, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14233582 0.11389131 0.10895423 0.11379459 0.52102405]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11021195 0.09191274 0.15218577 0.64568954]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81074246 0.08334092 0.10591662]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3110604 0.25941301 0.42952659 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17508874 0.18733149 0.63757976]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27775749 0.48336166 0.23888085]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.13279243 0.127036 0.13267965 0.60749191]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36387537 0.126617 0.41866167 0.09084596]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.3383177 0.32365193 0.33803037 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.66925119 0.33074881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42001872 0. 0.57998128 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21544916 0. 0.78455084]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.48913494 0.51086506 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11109714 0.50532251 0.25399904 0.12958131]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19215737 0.33978449 0.46805814]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19904432 0.6581441 0.14281158]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36123754 0.63876246 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.224585 0. 0.51346391 0.2619511 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09567033 0.59783138 0.13656122 0.16993707]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.66217948 0.33782052]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2427859 0.58640381 0.17081029]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.66107682 0.15100823 0.18791495]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16364979 0.30683511 0.24422847 0.28528663]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.81404875 0.18595125 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58701193 0. 0.41298807]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58224626 0. 0.41775374]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4109059 0.31291509 0.09942977 0.17674924]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49912605 0.38009693 0.12077702 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.75886744 0.24113256 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22897262 0.42931211 0.34171527 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44035717 0.55964283]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34783219 0.65216781 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14233582 0.11389131 0.10895423 0.11379459 0.52102405]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36387537 0.126617 0.41866167 0.09084596]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19215737 0.33978449 0.46805814]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62592702 0.21780259 0. 0.15627039]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4109059 0.31291509 0.09942977 0.17674924]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16364979 0.30683511 0.24422847 0.28528663]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45627302 0.34746328 0. 0.1962637 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17508874 0.18733149 0.63757976]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11021195 0.09191274 0.15218577 0.64568954]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81074246 0.08334092 0.10591662]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3110604 0.25941301 0.42952659 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.22709291 0.77290709]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.63903999 0. 0.36096001]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36123754 0.63876246 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11109714 0.50532251 0.25399904 0.12958131]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80021618 0. 0. 0.19978382]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29716695 0.23778086 0.22747327 0.23757892 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12763644 0.58055108 0.29181248 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2427859 0.58640381 0.17081029]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18022972 0.81977028 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38466882 0.30779629 0. 0.30753488 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09567033 0.59783138 0.13656122 0.16993707]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55550643 0.44449357 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27775749 0.48336166 0.23888085]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42001872 0. 0.57998128 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53762462 0. 0.46237538]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.36687395 0.29201699 0.34110905]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.66107682 0.15100823 0.18791495]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.55680527 0.44319473 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.77442273 0.22557727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.81404875 0.18595125 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44035717 0.55964283]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14233582 0.11389131 0.10895423 0.11379459 0.52102405]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36387537 0.126617 0.41866167 0.09084596]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19215737 0.33978449 0.46805814]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62592702 0.21780259 0. 0.15627039]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29716695 0.23778086 0.22747327 0.23757892 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11021195 0.09191274 0.15218577 0.64568954]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27775749 0.48336166 0.23888085]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1299954 0.10841142 0. 0.76159318]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81074246 0.08334092 0.10591662]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16364979 0.30683511 0.24422847 0.28528663]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90678619 0.09321381 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.54526713 0.45473287 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17508874 0.18733149 0.63757976]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4109059 0.31291509 0.09942977 0.17674924]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36123754 0.63876246 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11109714 0.50532251 0.25399904 0.12958131]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59804238 0. 0.1447125 0.25724512]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48310973 0.51689027 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53762462 0. 0.46237538]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.3383177 0.32365193 0.33803037 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.224585 0. 0.51346391 0.2619511 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2427859 0.58640381 0.17081029]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09567033 0.59783138 0.13656122 0.16993707]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58701193 0. 0.41298807]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46159987 0. 0. 0.53840013]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58224626 0. 0.41775374]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.50021242 0. 0.49978758 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23788612 0. 0.33956209 0.42255178]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36001929 0.63998071]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21653342 0.40598924 0. 0.37747734]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.44555296 0.55444704]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34783219 0.65216781 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14233582 0.11389131 0.10895423 0.11379459 0.52102405]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36387537 0.126617 0.41866167 0.09084596]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19215737 0.33978449 0.46805814]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11109714 0.50532251 0.25399904 0.12958131]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29105249 0. 0.70894751]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62592702 0.21780259 0. 0.15627039]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29716695 0.23778086 0.22747327 0.23757892 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09567033 0.59783138 0.13656122 0.16993707]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38976748 0.31187603 0.29835648 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11021195 0.09191274 0.15218577 0.64568954]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81074246 0.08334092 0.10591662]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16364979 0.30683511 0.24422847 0.28528663]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.66107682 0.15100823 0.18791495]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90678619 0.09321381 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3110604 0.25941301 0.42952659 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27775749 0.48336166 0.23888085]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.51107738 0.48892262 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.224585 0. 0.51346391 0.2619511 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2427859 0.58640381 0.17081029]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46159987 0. 0. 0.53840013]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.66925119 0.33074881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.54526713 0.45473287 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17508874 0.18733149 0.63757976]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4109059 0.31291509 0.09942977 0.17674924]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48310973 0.51689027 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.77866104 0. 0.22133896]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.77442273 0.22557727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22897262 0.42931211 0.34171527 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40122215 0. 0.59877785 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58224626 0. 0.41775374]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.53118014 0.16878419 0.30003567]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36001929 0.63998071]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14233582 0.11389131 0.10895423 0.11379459 0.52102405]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11109714 0.50532251 0.25399904 0.12958131]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36387537 0.126617 0.41866167 0.09084596]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4109059 0.31291509 0.09942977 0.17674924]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17508874 0.18733149 0.63757976]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27775749 0.48336166 0.23888085]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21544916 0. 0.78455084]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.53118014 0.16878419 0.30003567]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19215737 0.33978449 0.46805814]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41662749 0. 0.47935633 0.10401618]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36123754 0.63876246 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12763644 0.58055108 0.29181248 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2427859 0.58640381 0.17081029]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09567033 0.59783138 0.13656122 0.16993707]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58701193 0. 0.41298807]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18022972 0.81977028 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15974019 0.12781758 0. 0.12770902 0.58473321]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23788612 0. 0.33956209 0.42255178]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81074246 0.08334092 0.10591662]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11021195 0.09191274 0.15218577 0.64568954]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44035717 0.55964283]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36019453 0. 0. 0.63980547]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18312718 0.1465309 0. 0. 0.67034192]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80021618 0. 0. 0.19978382]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36001929 0.63998071]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55550643 0.44449357 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3110604 0.25941301 0.42952659 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42001872 0. 0.57998128 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36493299 0.63506701 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16364979 0.30683511 0.24422847 0.28528663]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22897262 0.42931211 0.34171527 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40122215 0. 0.59877785 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 16, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14947497 0.09970328 0.10078537 0.09492353 0.55511285]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32010237 0.12425975 0.47398033 0.08165756]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22685123 0.31127548 0.46187329]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60853688 0.23622643 0. 0.15523669]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33598401 0.22410915 0.22654142 0.21336542 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09631724 0.60599208 0.13601193 0.16167874]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23335604 0.59169657 0.17494739]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16385578 0.31746135 0.23931039 0.27937247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80646838 0.09192106 0.10161056]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10083998 0.08474296 0.13118631 0.68323075]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47496663 0.52503337]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2444551 0. 0.34520102 0.41034389]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21540426 0.41733363 0. 0.36726211]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41457231 0. 0.58542769 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34043206 0.65956794 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41937046 0.30850647 0.10332152 0.16880154]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19355378 0.15992461 0.64652161]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.531331 0.17794741 0.29072159]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42155728 0.57844272 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10452783 0.52533151 0.24323428 0.12690638]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60344491 0. 0.39655509]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37968675 0.62031325]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28283777 0.71716223 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42711574 0.28489613 0.28798813 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11972122 0.60168978 0.278589 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30057281 0. 0.69942719 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59987165 0.40012835 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27289836 0.49366605 0.23343559]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54756892 0.45243108 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31833891 0.26752268 0.41413841 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.39245702 0.60754298 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35600186 0.64399814 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14947497 0.09970328 0.10078537 0.09492353 0.55511285]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32010237 0.12425975 0.47398033 0.08165756]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33598401 0.22410915 0.22654142 0.21336542 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09631724 0.60599208 0.13601193 0.16167874]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23335604 0.59169657 0.17494739]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2444551 0. 0.34520102 0.41034389]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16385578 0.31746135 0.23931039 0.27937247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80646838 0.09192106 0.10161056]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10083998 0.08474296 0.13118631 0.68323075]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42711574 0.28489613 0.28798813 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.09424681 0.14589874 0.75985445]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47496663 0.52503337]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21540426 0.41733363 0. 0.36726211]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41457231 0. 0.58542769 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.49730138 0.50269862 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10452783 0.52533151 0.24323428 0.12690638]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22685123 0.31127548 0.46187329]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18276244 0.69713484 0.12010272]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41937046 0.30850647 0.10332152 0.16880154]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19355378 0.15992461 0.64652161]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.531331 0.17794741 0.29072159]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.85303818 0.14696182]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42155728 0.57844272 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.74911487 0.25088513 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22021229 0. 0.51242979 0.26735792]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27289836 0.49366605 0.23343559]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.65714012 0.34285988]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.57152604 0. 0.42847396]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34043206 0.65956794 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.39245702 0.60754298 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54756892 0.45243108 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.67895054 0.32104946]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14947497 0.09970328 0.10078537 0.09492353 0.55511285]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32010237 0.12425975 0.47398033 0.08165756]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33598401 0.22410915 0.22654142 0.21336542 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10083998 0.08474296 0.13118631 0.68323075]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80646838 0.09192106 0.10161056]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31833891 0.26752268 0.41413841 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19355378 0.15992461 0.64652161]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27289836 0.49366605 0.23343559]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43460583 0. 0.56539417 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53896911 0. 0.46103089]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.33750565 0.34116862 0.32132573 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10452783 0.52533151 0.24323428 0.12690638]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22685123 0.31127548 0.46187329]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22021229 0. 0.51242979 0.26735792]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.51227926 0. 0.48772074 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.23040049 0. 0.76959951]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41937046 0.30850647 0.10332152 0.16880154]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16385578 0.31746135 0.23931039 0.27937247]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09631724 0.60599208 0.13601193 0.16167874]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2273793 0.44053459 0.33208611 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23335604 0.59169657 0.17494739]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.114893 0.72286379 0.16224321 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.8166965 0.1833035 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.57152604 0. 0.42847396]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.65714012 0.34285988]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18276244 0.69713484 0.12010272]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32937877 0. 0.67062123]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46769324 0.34405473 0. 0.18825203]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47496663 0.52503337]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40642245 0. 0.59357755 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.64634673 0. 0.35365327]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60344491 0. 0.39655509]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14947497 0.09970328 0.10078537 0.09492353 0.55511285]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32010237 0.12425975 0.47398033 0.08165756]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22685123 0.31127548 0.46187329]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10452783 0.52533151 0.24323428 0.12690638]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32937877 0. 0.67062123]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41937046 0.30850647 0.10332152 0.16880154]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19355378 0.15992461 0.64652161]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.531331 0.17794741 0.29072159]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60853688 0.23622643 0. 0.15523669]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33598401 0.22410915 0.22654142 0.21336542 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22021229 0. 0.51242979 0.26735792]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23335604 0.59169657 0.17494739]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16385578 0.31746135 0.23931039 0.27937247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80646838 0.09192106 0.10161056]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10083998 0.08474296 0.13118631 0.68323075]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54756892 0.45243108 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11017668 0. 0.14333276 0.74649057]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47496663 0.52503337]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21540426 0.41733363 0. 0.36726211]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28283777 0.71716223 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45165247 0. 0. 0.54834753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60344491 0. 0.39655509]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37968675 0.62031325]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43439173 0.28974939 0. 0.27585889 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27289836 0.49366605 0.23343559]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43460583 0. 0.56539417 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53896911 0. 0.46103089]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61160345 0. 0. 0.38839655 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09631724 0.60599208 0.13601193 0.16167874]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2444551 0. 0.34520102 0.41034389]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37332846 0. 0. 0.62667154]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36968713 0. 0. 0.63031287]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14947497 0.09970328 0.10078537 0.09492353 0.55511285]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32010237 0.12425975 0.47398033 0.08165756]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33598401 0.22410915 0.22654142 0.21336542 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10452783 0.52533151 0.24323428 0.12690638]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22685123 0.31127548 0.46187329]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18276244 0.69713484 0.12010272]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42155728 0.57844272 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22021229 0. 0.51242979 0.26735792]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60344491 0. 0.39655509]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30057281 0. 0.69942719 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43439173 0.28974939 0. 0.27585889 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10083998 0.08474296 0.13118631 0.68323075]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27289836 0.49366605 0.23343559]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11606629 0.0975387 0. 0.78639501]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80646838 0.09192106 0.10161056]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5433688 0.4566312 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19355378 0.15992461 0.64652161]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.51227926 0. 0.48772074 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09631724 0.60599208 0.13601193 0.16167874]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53896911 0. 0.46103089]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19830784 0.80169216]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41937046 0.30850647 0.10332152 0.16880154]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.67058056 0.1505085 0.17891095]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16385578 0.31746135 0.23931039 0.27937247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47496663 0.52503337]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.8166965 0.1833035 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23335604 0.59169657 0.17494739]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21540426 0.41733363 0. 0.36726211]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.531331 0.17794741 0.29072159]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.53190912 0. 0.46809088]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28283777 0.71716223 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.64634673 0. 0.35365327]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
Iteration 17, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17524179 0.0934662 0.11918696 0.09361975 0.51848531]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30515149 0.47504667 0.21980184]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19330971 0. 0.13147547 0.10327221 0.57194261]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32550946 0.13280348 0.45977079 0.08191627]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45159765 0. 0.30714449 0.24125785 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09647562 0.08388596 0.14832022 0.6713182 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75334366 0.1223158 0.12434054]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29352286 0.25521935 0.45125778 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20171838 0.15888836 0.63939325]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.68366941 0.31633059]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.23982355 0. 0.76017645]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40630818 0.29515296 0.11556826 0.18297061]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.1968945 0.68165639 0.12144911]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21710938 0.31396119 0.46892943]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49729934 0.36125133 0.14144933 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39410646 0. 0.60589354 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.56007144 0.43992856 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10514374 0.62856735 0.12022682 0.14606208]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21848243 0.59820096 0.1833166 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2830762 0. 0.32368404 0.39323976]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14132114 0.32114298 0.27746132 0.26007455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49589562 0.50410438]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46653716 0. 0.53346284 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12006687 0.49483056 0.2698557 0.11524688]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.40102816 0.59897184]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23767643 0. 0.53418848 0.22813509]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54376047 0. 0.45623953]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51024163 0. 0. 0.48975837]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19558973 0.44446476 0. 0.35994551]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35207439 0. 0. 0.64792561]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.71862116 0.28137884 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.6184968 0. 0.3815032]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17524179 0.0934662 0.11918696 0.09361975 0.51848531]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12006687 0.49483056 0.2698557 0.11524688]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21710938 0.31396119 0.46892943]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40630818 0.29515296 0.11556826 0.18297061]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32550946 0.13280348 0.45977079 0.08191627]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.40102816 0.59897184]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60253953 0.24582802 0. 0.15163244]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19895458 0.10611355 0. 0.10628787 0.588644 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10514374 0.62856735 0.12022682 0.14606208]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21848243 0.59820096 0.1833166 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2830762 0. 0.32368404 0.39323976]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14132114 0.32114298 0.27746132 0.26007455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75334366 0.1223158 0.12434054]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09647562 0.08388596 0.14832022 0.6713182 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49589562 0.50410438]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46653716 0. 0.53346284 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22261595 0.11873348 0. 0. 0.65865057]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.6184968 0. 0.3815032]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49729934 0.36125133 0.14144933 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20171838 0.15888836 0.63939325]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30515149 0.47504667 0.21980184]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.65216441 0.34783559 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.68366941 0.31633059]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29352286 0.25521935 0.45125778 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.23982355 0. 0.76017645]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.71862116 0.28137884 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23767643 0. 0.53418848 0.22813509]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54376047 0. 0.45623953]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51024163 0. 0. 0.48975837]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39410646 0. 0.60589354 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19558973 0.44446476 0. 0.35994551]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35207439 0. 0. 0.64792561]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17524179 0.0934662 0.11918696 0.09361975 0.51848531]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32550946 0.13280348 0.45977079 0.08191627]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36393861 0.19410872 0.24752507 0.1944276 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30515149 0.47504667 0.21980184]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20171838 0.15888836 0.63939325]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40630818 0.29515296 0.11556826 0.18297061]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14132114 0.32114298 0.27746132 0.26007455]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21848243 0.59820096 0.1833166 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10514374 0.62856735 0.12022682 0.14606208]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75334366 0.1223158 0.12434054]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11951233 0.71446524 0. 0.16602243]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45159765 0. 0.30714449 0.24125785 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12006687 0.49483056 0.2698557 0.11524688]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.1968945 0.68165639 0.12144911]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13570663 0.55928659 0.30500677 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54376047 0. 0.45623953]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20817512 0. 0.40871835 0.38310652]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.81144264 0. 0.18855736]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19526325 0.80473675 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21710938 0.31396119 0.46892943]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.65179197 0. 0. 0.34820803 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09647562 0.08388596 0.14832022 0.6713182 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.85833112 0. 0.14166888]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33745716 0. 0.66254284 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29352286 0.25521935 0.45125778 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.39112049 0.60887951 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45940027 0.33372045 0. 0.20687929]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55938605 0.44061395 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.53490119 0.46509881 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.61731523 0. 0.38268477]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.2241128 0.7758872 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31646807 0. 0.68353193]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17524179 0.0934662 0.11918696 0.09361975 0.51848531]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10514374 0.62856735 0.12022682 0.14606208]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21848243 0.59820096 0.1833166 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14132114 0.32114298 0.27746132 0.26007455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75334366 0.1223158 0.12434054]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09647562 0.08388596 0.14832022 0.6713182 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49589562 0.50410438]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2830762 0. 0.32368404 0.39323976]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19558973 0.44446476 0. 0.35994551]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46653716 0. 0.53346284 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.30558293 0.69441707 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26752403 0.73247597 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19334246 0.1031203 0.13149774 0. 0.5720395 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32550946 0.13280348 0.45977079 0.08191627]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21710938 0.31396119 0.46892943]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12006687 0.49483056 0.2698557 0.11524688]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31646807 0. 0.68353193]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60253953 0.24582802 0. 0.15163244]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40630818 0.29515296 0.11556826 0.18297061]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.79894182 0. 0. 0.20105818]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45177641 0.24095751 0.30726607 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29352286 0.25521935 0.45125778 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20171838 0.15888836 0.63939325]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30515149 0.47504667 0.21980184]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.23982355 0. 0.76017645]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49729934 0.36125133 0.14144933 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39410646 0. 0.60589354 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.39112049 0.60887951 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43952416 0.56047584 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23767643 0. 0.53418848 0.22813509]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30792491 0. 0.69207509 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.71862116 0.28137884 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17524179 0.0934662 0.11918696 0.09361975 0.51848531]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32550946 0.13280348 0.45977079 0.08191627]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21710938 0.31396119 0.46892943]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12006687 0.49483056 0.2698557 0.11524688]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31646807 0. 0.68353193]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40630818 0.29515296 0.11556826 0.18297061]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60253953 0.24582802 0. 0.15163244]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57644872 0. 0.16396218 0.2595891 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.79894182 0. 0. 0.20105818]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36393861 0.19410872 0.24752507 0.1944276 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09647562 0.08388596 0.14832022 0.6713182 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75334366 0.1223158 0.12434054]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29352286 0.25521935 0.45125778 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20171838 0.15888836 0.63939325]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77855245 0. 0.22144755 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14132114 0.32114298 0.27746132 0.26007455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49589562 0.50410438]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19558973 0.44446476 0. 0.35994551]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55938605 0.44061395 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.39410646 0. 0.60589354 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.30517293 0.3891528 0.30567427 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10514374 0.62856735 0.12022682 0.14606208]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21848243 0.59820096 0.1833166 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.55253492 0. 0.44746508]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2830762 0. 0.32368404 0.39323976]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26752403 0.73247597 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46653716 0. 0.53346284 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43952416 0.56047584 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23767643 0. 0.53418848 0.22813509]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30515149 0.47504667 0.21980184]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.39112049 0.60887951 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.70073719 0.29926281]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 18, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19385671 0.09367468 0.10929365 0.09795029 0.50522468]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31785295 0.1228794 0.48379128 0.07547637]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11490735 0.50528174 0.26468888 0.11512204]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2241625 0.32154001 0.45429749]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23226826 0. 0.53502953 0.23270222]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34380187 0.13291104 0.52328709 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39180756 0.18932771 0.22089551 0.19796922 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09296217 0.08556577 0.1486639 0.67280816]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.31129573 0.36320003 0.32550425 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28231797 0.48111365 0.23656837]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17794878 0.16365766 0.65839356]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39951733 0.28781827 0.11572849 0.19693591]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.330399 0. 0.669601]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.20254712 0.79745288 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56097666 0. 0.16249853 0.2765248 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52091752 0.47908248 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36980125 0.63019875 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.52736717 0.47263283 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09311769 0.62928385 0.11673476 0.16086369]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15697211 0.30696882 0.2621358 0.27392327]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21697006 0.58672039 0.19630955]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11096849 0.74991851 0.13911299 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5249958 0. 0.4750042]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30270941 0. 0.69729059 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2265008 0. 0.37824531 0.39525389]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44372934 0. 0.55627066 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78545602 0.11107484 0.10346914]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.09433539 0.16390044 0.74176417]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51772527 0.48227473]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37453866 0. 0.62546134 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37013644 0.62986356]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.36530714 0.63469286 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19385671 0.09367468 0.10929365 0.09795029 0.50522468]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31785295 0.1228794 0.48379128 0.07547637]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39180756 0.18932771 0.22089551 0.19796922 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09296217 0.08556577 0.1486639 0.67280816]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78545602 0.11107484 0.10346914]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2841213 0.2615156 0.4543631 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28231797 0.48111365 0.23656837]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52071496 0.47928504 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17794878 0.16365766 0.65839356]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39951733 0.28781827 0.11572849 0.19693591]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15697211 0.30696882 0.2621358 0.27392327]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51772527 0.48227473]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09311769 0.62928385 0.11673476 0.16086369]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21697006 0.58672039 0.19630955]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25118326 0. 0.31488988 0.43392686]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21273849 0.41602346 0. 0.37123805]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45180391 0.32548631 0. 0.22270978]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2241625 0.32154001 0.45429749]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18013623 0.70921846 0.11064532]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41077785 0.58922215 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11490735 0.50528174 0.26468888 0.11512204]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.6194899 0. 0.3805101]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.66982171 0. 0. 0.33017829]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52091752 0.47908248 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.31129573 0.36320003 0.32550425 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36663196 0. 0. 0.63336804]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.52844379 0. 0.47155621]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.46152363 0.53847637 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12985672 0.57101856 0.29912473 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30270941 0. 0.69729059 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54408441 0. 0.45591559]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5249958 0. 0.4750042]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19385671 0.09367468 0.10929365 0.09795029 0.50522468]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11490735 0.50528174 0.26468888 0.11512204]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2241625 0.32154001 0.45429749]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31785295 0.1228794 0.48379128 0.07547637]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23226826 0. 0.53502953 0.23270222]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21764379 0.10516898 0. 0.10996922 0.567218 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34380187 0.13291104 0.52328709 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41077785 0.58922215 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39951733 0.28781827 0.11572849 0.19693591]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17794878 0.16365766 0.65839356]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.47931154 0.19272577 0.32796269]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69689645 0.30310355]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21697006 0.58672039 0.19630955]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15697211 0.30696882 0.2621358 0.27392327]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78545602 0.11107484 0.10346914]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21273849 0.41602346 0. 0.37123805]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37013644 0.62986356]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.7211927 0.2788073 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50289475 0.24300683 0. 0.25409842 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28231797 0.48111365 0.23656837]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.66433195 0. 0. 0.33566805 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09311769 0.62928385 0.11673476 0.16086369]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.52844379 0. 0.47155621]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11096849 0.74991851 0.13911299 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2699672 0.7300328 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44372934 0. 0.55627066 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87610595 0.12389405 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09296217 0.08556577 0.1486639 0.67280816]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2841213 0.2615156 0.4543631 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.67037161 0.32962839]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52091752 0.47908248 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.36530714 0.63469286 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19385671 0.09367468 0.10929365 0.09795029 0.50522468]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09311769 0.62928385 0.11673476 0.16086369]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21697006 0.58672039 0.19630955]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25118326 0. 0.31488988 0.43392686]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78545602 0.11107484 0.10346914]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09296217 0.08556577 0.1486639 0.67280816]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51772527 0.48227473]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36663196 0. 0. 0.63336804]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15697211 0.30696882 0.2621358 0.27392327]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5249958 0. 0.4750042]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11490735 0.50528174 0.26468888 0.11512204]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2149069 0.10384647 0.12116145 0. 0.56008518]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31785295 0.1228794 0.48379128 0.07547637]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.48851935 0.2360604 0.27542024 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2841213 0.2615156 0.4543631 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.46152363 0.53847637 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.57088005 0.29905217 0.13006778]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18013623 0.70921846 0.11064532]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2241625 0.32154001 0.45429749]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39951733 0.28781827 0.11572849 0.19693591]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.41444247 0.58555753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.6194899 0. 0.3805101]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56097666 0. 0.16249853 0.2765248 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.65623509 0.34376491 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2265008 0. 0.37824531 0.39525389]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28231797 0.48111365 0.23656837]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.36530714 0.63469286 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17794878 0.16365766 0.65839356]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54408441 0. 0.45591559]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19908451 0.80091549]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.7753917 0. 0.2246083 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37453866 0. 0.62546134 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19385671 0.09367468 0.10929365 0.09795029 0.50522468]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09296217 0.08556577 0.1486639 0.67280816]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78545602 0.11107484 0.10346914]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09311769 0.62928385 0.11673476 0.16086369]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15697211 0.30696882 0.2621358 0.27392327]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11096849 0.74991851 0.13911299 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88360197 0. 0.11639803]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2841213 0.2615156 0.4543631 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28231797 0.48111365 0.23656837]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52071496 0.47928504 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.11620103 0.13557596 0.12150481 0.62671821]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54408441 0. 0.45591559]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.15340135 0.13748014 0.70911851]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31785295 0.1228794 0.48379128 0.07547637]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.52736717 0.47263283 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11490735 0.50528174 0.26468888 0.11512204]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2241625 0.32154001 0.45429749]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18013623 0.70921846 0.11064532]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41077785 0.58922215 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39951733 0.28781827 0.11572849 0.19693591]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23226826 0. 0.53502953 0.23270222]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12890018 0.87109982 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21697006 0.58672039 0.19630955]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17794878 0.16365766 0.65839356]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19908451 0.80091549]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56097666 0. 0.16249853 0.2765248 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69689645 0.30310355]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5249958 0. 0.4750042]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.6194899 0. 0.3805101]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21619218 0.42277738 0.36103043 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33834504 0.66165496 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37013644 0.62986356]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
Iteration 19, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19091116 0.1165015 0.10990672 0.09680882 0.4858718 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09530246 0.08486228 0.15483509 0.66500018]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78402426 0.09775467 0.11822107]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2844851 0.25332036 0.46219454 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28293296 0.50957408 0.20749297]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52897398 0.47102602 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17127041 0.15596488 0.67276471]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41604034 0.27317077 0.11162787 0.19916102]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2401251 0.32020225 0.43967265]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10502644 0.52246532 0.26465975 0.10784849]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14399099 0.13584011 0.11965165 0.60051725]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0968214 0.62821696 0.11611896 0.15884268]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45261875 0.54738125]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10954122 0.71074831 0. 0.17971047]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23229497 0.57212318 0.19558185]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37870553 0. 0. 0.62129447]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15786181 0.28640527 0.24370186 0.31203106]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2087296 0.37869361 0. 0.41257679]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.16356138 0.15430268 0. 0.68213594]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33698627 0.11430347 0.47867052 0.07003974]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.51456392 0.48543608 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57691273 0. 0.42308727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.58377738 0.29571795 0.12050467]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35323021 0. 0.64676979]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.17239985 0.7219617 0.10563845]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57240452 0. 0.15358198 0.2740135 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35533087 0.64466913 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5429015 0. 0.4570985]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.71048026 0.28951974]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.67626694 0. 0. 0.32373306]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52338613 0.47661387 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62005791 0. 0.37994209]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19091116 0.1165015 0.10990672 0.09680882 0.4858718 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10502644 0.52246532 0.26465975 0.10784849]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33698627 0.11430347 0.47867052 0.07003974]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2401251 0.32020225 0.43967265]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41604034 0.27317077 0.11162787 0.19916102]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.42138812 0.57861188]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64639788 0.21925379 0. 0.13434833]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57240452 0. 0.15358198 0.2740135 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17127041 0.15596488 0.67276471]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09530246 0.08486228 0.15483509 0.66500018]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78402426 0.09775467 0.11822107]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2844851 0.25332036 0.46219454 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28293296 0.50957408 0.20749297]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52897398 0.47102602 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.18819755 0.81180245]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35917587 0.64082413]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82792317 0. 0. 0.17207683]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21448444 0.13088684 0. 0.10876255 0.54586616]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0968214 0.62821696 0.11611896 0.15884268]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23229497 0.57212318 0.19558185]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11772264 0.58562399 0.29665337 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.74523828 0.25476172]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26042447 0. 0.3123299 0.42724563]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15786181 0.28640527 0.24370186 0.31203106]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22122054 0. 0.34151297 0.43726649]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45261875 0.54738125]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33595277 0. 0. 0.66404723]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45468789 0. 0.54531211 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24065914 0.14685968 0. 0. 0.61248118]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.167375 0.832625 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62102569 0.37897431 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57691273 0. 0.42308727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19091116 0.1165015 0.10990672 0.09680882 0.4858718 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33698627 0.11430347 0.47867052 0.07003974]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37132988 0.2266001 0.21377298 0.18829704 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09530246 0.08486228 0.15483509 0.66500018]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78402426 0.09775467 0.11822107]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2844851 0.25332036 0.46219454 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17127041 0.15596488 0.67276471]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41604034 0.27317077 0.11162787 0.19916102]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.17239985 0.7219617 0.10563845]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2401251 0.32020225 0.43967265]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62005791 0. 0.37994209]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5195056 0.34110574 0.13938866 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42854431 0.57145569 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.78845064 0. 0.21154936 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52338613 0.47661387 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28293296 0.50957408 0.20749297]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.36044357 0.34003999 0.29951644 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10502644 0.52246532 0.26465975 0.10784849]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993468 0. 0.55422101 0.22584431]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23229497 0.57212318 0.19558185]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0968214 0.62821696 0.11611896 0.15884268]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5429015 0. 0.4570985]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49337157 0. 0. 0.50662843]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.54615971 0. 0.45384029 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.71063659 0.28936341]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.38100021 0. 0.61899979 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26042447 0. 0.3123299 0.42724563]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15786181 0.28640527 0.24370186 0.31203106]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45468789 0. 0.54531211 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22946067 0.41630553 0.35423381 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45261875 0.54738125]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39311776 0. 0.60688224 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19091116 0.1165015 0.10990672 0.09680882 0.4858718 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33698627 0.11430347 0.47867052 0.07003974]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2401251 0.32020225 0.43967265]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64639788 0.21925379 0. 0.13434833]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37132988 0.2266001 0.21377298 0.18829704 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10502644 0.52246532 0.26465975 0.10784849]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42854431 0.57145569 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41604034 0.27317077 0.11162787 0.19916102]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993468 0. 0.55422101 0.22584431]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.47229346 0.28821205 0. 0.23949449 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0968214 0.62821696 0.11611896 0.15884268]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23229497 0.57212318 0.19558185]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26042447 0. 0.3123299 0.42724563]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62102569 0.37897431 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09530246 0.08486228 0.15483509 0.66500018]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78402426 0.09775467 0.11822107]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15786181 0.28640527 0.24370186 0.31203106]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88913925 0.11086075 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2844851 0.25332036 0.46219454 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28293296 0.50957408 0.20749297]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.71063659 0.28936341]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52897398 0.47102602 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17127041 0.15596488 0.67276471]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.18819755 0.81180245]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57240452 0. 0.15358198 0.2740135 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35917587 0.64082413]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62005791 0. 0.37994209]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.71048026 0.28951974]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5429015 0. 0.4570985]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2087296 0.37869361 0. 0.41257679]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33595277 0. 0. 0.66404723]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.42230967 0.57769033]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19091116 0.1165015 0.10990672 0.09680882 0.4858718 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09530246 0.08486228 0.15483509 0.66500018]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78402426 0.09775467 0.11822107]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15786181 0.28640527 0.24370186 0.31203106]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41604034 0.27317077 0.11162787 0.19916102]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17127041 0.15596488 0.67276471]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.46779048 0.19115682 0.3410527 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33698627 0.11430347 0.47867052 0.07003974]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10502644 0.52246532 0.26465975 0.10784849]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2401251 0.32020225 0.43967265]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21993468 0. 0.55422101 0.22584431]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14399099 0.13584011 0.11965165 0.60051725]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36236631 0.12291221 0.51472148 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.36044357 0.34003999 0.29951644 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.71048026 0.28951974]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23229497 0.57212318 0.19558185]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19276304 0.80723696 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.70990576 0.29009424 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.34009296 0.28938464 0.3705224 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0968214 0.62821696 0.11611896 0.15884268]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.74523828 0.25476172]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.5402781 0.4597219 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88913925 0.11086075 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.2844851 0.25332036 0.46219454 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28293296 0.50957408 0.20749297]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52897398 0.47102602 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52338613 0.47661387 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57691273 0. 0.42308727]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.54615971 0. 0.45384029 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26042447 0. 0.3123299 0.42724563]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35323021 0. 0.64676979]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.42230967 0.57769033]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
Iteration 20, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20474783 0.1151447 0.1340424 0.08609314 0.45997194]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32721668 0.11410288 0.48301782 0.07566262]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37914294 0.21321984 0.24821377 0.15942345 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11129646 0.4699889 0.2923315 0.12638315]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20432935 0.30790699 0.48776366]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.16959826 0.71793964 0.1124621 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39889662 0.60110338 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43762543 0.27233498 0.10361559 0.186424 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20998892 0. 0.55155731 0.23845377]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50432281 0.28361764 0. 0.21205955 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12363991 0.08303536 0.15714721 0.63617752]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77932297 0.0972772 0.12339984]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33983583 0.22823042 0.43193376 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.57218215 0. 0.42781785 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09776376 0.62759703 0.11673625 0.15790296]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28365924 0.5418584 0.17448237]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16060574 0.30486708 0.23957454 0.29495264]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44081251 0.55918749]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26252144 0. 0.31346755 0.42401101]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2112051 0.40091645 0. 0.38787844]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38238752 0. 0. 0.61761248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34503785 0.65496215 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.34361378 0.65638622 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23291444 0.56686396 0.20022161]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34571767 0.65428233 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16397477 0.15059426 0.68543097]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53773968 0. 0.46226032]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60128358 0. 0.39871642]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60141057 0. 0.14239463 0.25619481]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69816401 0.30183599]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80855925 0. 0.19144075 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.18013124 0.81986876]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20474783 0.1151447 0.1340424 0.08609314 0.45997194]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11129646 0.4699889 0.2923315 0.12638315]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20432935 0.30790699 0.48776366]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32721668 0.11410288 0.48301782 0.07566262]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23644094 0.13296805 0. 0.09941957 0.53117143]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.16959826 0.71793964 0.1124621 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43762543 0.27233498 0.10361559 0.186424 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16397477 0.15059426 0.68543097]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48425907 0.18424657 0.33149436]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39889662 0.60110338 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20998892 0. 0.55155731 0.23845377]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.86456905 0.13543095]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35724637 0.64275363]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27574021 0. 0.72425979 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28365924 0.5418584 0.17448237]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09776376 0.62759703 0.11673625 0.15790296]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77932297 0.0972772 0.12339984]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12363991 0.08303536 0.15714721 0.63617752]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44081251 0.55918749]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16060574 0.30486708 0.23957454 0.29495264]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11068468 0.71054317 0. 0.17877215]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.61915188 0. 0.38084812]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22779426 0.43240653 0.33979921 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50432281 0.28361764 0. 0.21205955 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33983583 0.22823042 0.43193376 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52126799 0.47873201 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44033327 0. 0.55966673 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23291444 0.56686396 0.20022161]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.57218215 0. 0.42781785 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53773968 0. 0.46226032]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38238752 0. 0. 0.61761248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40133347 0. 0.59866653 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20474783 0.1151447 0.1340424 0.08609314 0.45997194]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23291444 0.56686396 0.20022161]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12363991 0.08303536 0.15714721 0.63617752]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77932297 0.0972772 0.12339984]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16060574 0.30486708 0.23957454 0.29495264]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09776376 0.62759703 0.11673625 0.15790296]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28365924 0.5418584 0.17448237]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26252144 0. 0.31346755 0.42401101]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.889029 0.110971 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33983583 0.22823042 0.43193376 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23139131 0. 0.15148511 0.09729629 0.51982729]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38238752 0. 0. 0.61761248]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2563314 0. 0.16781266 0. 0.57585594]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32721668 0.11410288 0.48301782 0.07566262]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20432935 0.30790699 0.48776366]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11129646 0.4699889 0.2923315 0.12638315]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63293608 0.22070951 0. 0.14635441]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60434986 0. 0.39565014 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12739733 0.53798058 0.33462209 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.61915188 0. 0.38084812]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19146613 0.80853387 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29523394 0. 0.70476606]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60128358 0. 0.39871642]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43762543 0.27233498 0.10361559 0.186424 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16397477 0.15059426 0.68543097]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48425907 0.18424657 0.33149436]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34571767 0.65428233 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53773968 0. 0.46226032]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.7243904 0.2756096 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22779426 0.43240653 0.33979921 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40133347 0. 0.59866653 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52126799 0.47873201 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20474783 0.1151447 0.1340424 0.08609314 0.45997194]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32721668 0.11410288 0.48301782 0.07566262]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37914294 0.21321984 0.24821377 0.15942345 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23291444 0.56686396 0.20022161]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12363991 0.08303536 0.15714721 0.63617752]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77932297 0.0972772 0.12339984]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33983583 0.22823042 0.43193376 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53773968 0. 0.46226032]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.48189184 0. 0.31548047 0.20262769 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11129646 0.4699889 0.2923315 0.12638315]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20432935 0.30790699 0.48776366]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43762543 0.27233498 0.10361559 0.186424 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16397477 0.15059426 0.68543097]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48425907 0.18424657 0.33149436]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.16959826 0.71793964 0.1124621 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.38697794 0.61302206]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60128358 0. 0.39871642]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.7243904 0.2756096 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20998892 0. 0.55155731 0.23845377]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.70398552 0. 0. 0.29601448 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09776376 0.62759703 0.11673625 0.15790296]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28365924 0.5418584 0.17448237]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69816401 0.30183599]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.75642546 0.24357454]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26252144 0. 0.31346755 0.42401101]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44081251 0.55918749]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16060574 0.30486708 0.23957454 0.29495264]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.36319891 0.2854136 0.35138749]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.44819898 0.55180102]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38238752 0. 0. 0.61761248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59823274 0.40176726 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52126799 0.47873201 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20474783 0.1151447 0.1340424 0.08609314 0.45997194]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32721668 0.11410288 0.48301782 0.07566262]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43762543 0.27233498 0.10361559 0.186424 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36936194 0. 0.54523015 0.08540791]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11129646 0.4699889 0.2923315 0.12638315]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20432935 0.30790699 0.48776366]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20998892 0. 0.55155731 0.23845377]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40385429 0. 0.59614571 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37914294 0.21321984 0.24821377 0.15942345 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23291444 0.56686396 0.20022161]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16397477 0.15059426 0.68543097]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.53790356 0.33473822 0.12735822 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52126799 0.47873201 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29122372 0.70877628 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.48189184 0. 0.31548047 0.20262769 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09776376 0.62759703 0.11673625 0.15790296]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28365924 0.5418584 0.17448237]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.27574021 0. 0.72425979 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.75642546 0.24357454]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16060574 0.30486708 0.23957454 0.29495264]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26252144 0. 0.31346755 0.42401101]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77932297 0.0972772 0.12339984]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12363991 0.08303536 0.15714721 0.63617752]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44081251 0.55918749]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22779426 0.43240653 0.33979921 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38238752 0. 0. 0.61761248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34503785 0.65496215 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.7243904 0.2756096 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29523394 0. 0.70476606]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.60434986 0. 0.39565014 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33983583 0.22823042 0.43193376 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34571767 0.65428233 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
Iteration 21, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18840739 0.10634967 0.10986886 0.07391816 0.52145593]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36131794 0.12015963 0.44251451 0.07600791]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18695604 0.33294735 0.4800966 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13009877 0.46371718 0.28249034 0.12369371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64812081 0.21553859 0. 0.1363406 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39370958 0.22223589 0.22958984 0.15446468 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14846266 0.52917249 0.32236485 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24108084 0.5768973 0.18202186]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11082848 0.60516917 0.12122975 0.16277259]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414333 0.31798092 0.24170013 0.26617562]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1323756 0.72282532 0.14479907 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7991526 0.09839419 0.10245322]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10275852 0.06257569 0.12122908 0.7134367 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24800137 0.53993331 0.21206532]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11693437 0.07120819 0. 0.81185744]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.48989523 0.51010477]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23730927 0.43332019 0.32937053 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56979273 0. 0.43020727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21908938 0.78091062 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2802718 0. 0.7197282]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61253576 0. 0.38746424]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.51103893 0.28846438 0. 0.20049669 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.15478889 0.84521111 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41877136 0. 0.58122864 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.63919551 0.36080449 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53905527 0. 0.46094473]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62152001 0.37847999 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42257103 0.28849128 0.10286165 0.18607603]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17195083 0.15642412 0.67162505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49961346 0.17813733 0.32224922]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35599943 0.64400057]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52364173 0.47635827 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18840739 0.10634967 0.10986886 0.07391816 0.52145593]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24800137 0.53993331 0.21206532]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10275852 0.06257569 0.12122908 0.7134367 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17195083 0.15642412 0.67162505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42257103 0.28849128 0.10286165 0.18607603]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52364173 0.47635827 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10961794 0. 0.12932146 0.7610606 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7991526 0.09839419 0.10245322]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.45876878 0. 0.54123122 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53905527 0. 0.46094473]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21082898 0. 0.1229439 0.08271486 0.58351226]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36131794 0.12015963 0.44251451 0.07600791]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18695604 0.33294735 0.4800966 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64812081 0.21553859 0. 0.1363406 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13009877 0.46371718 0.28249034 0.12369371]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35959766 0.64040234 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24259357 0. 0.52675628 0.23065015]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50620693 0. 0.29519213 0.19860094 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.59780533 0.40219467 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11082848 0.60516917 0.12122975 0.16277259]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24108084 0.5768973 0.18202186]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28069866 0. 0.30704227 0.41225907]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414333 0.31798092 0.24170013 0.26617562]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56979273 0. 0.43020727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69547374 0.30452626]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25533499 0. 0.3543891 0.39027591]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47758909 0. 0.52241091 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75043566 0.24956434 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49961346 0.17813733 0.32224922]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73716397 0.26283603 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41877136 0. 0.58122864 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.48989523 0.51010477]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18840739 0.10634967 0.10986886 0.07391816 0.52145593]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10275852 0.06257569 0.12122908 0.7134367 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7991526 0.09839419 0.10245322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11082848 0.60516917 0.12122975 0.16277259]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24108084 0.5768973 0.18202186]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28069866 0. 0.30704227 0.41225907]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.13103824 0.1353744 0.09107791 0.64250945]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36131794 0.12015963 0.44251451 0.07600791]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.36655023 0.37867965 0.25477012 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24800137 0.53993331 0.21206532]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35858926 0.21836603 0.4230447 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53905527 0. 0.46094473]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.59780533 0.40219467 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13009877 0.46371718 0.28249034 0.12369371]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18695604 0.33294735 0.4800966 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18813686 0.69285572 0.11900743]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35959766 0.64040234 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24259357 0. 0.52675628 0.23065015]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61253576 0. 0.38746424]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42257103 0.28849128 0.10286165 0.18607603]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17195083 0.15642412 0.67162505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49961346 0.17813733 0.32224922]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35599943 0.64400057]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.31532283 0. 0.68467717 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.42686181 0.57313819]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88636584 0. 0.11363416]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62152001 0.37847999 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52364173 0.47635827 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414333 0.31798092 0.24170013 0.26617562]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.38503161 0.29266595 0.32230244]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.56814667 0.43185333 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56979273 0. 0.43020727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18840739 0.10634967 0.10986886 0.07391816 0.52145593]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24800137 0.53993331 0.21206532]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21082898 0. 0.1229439 0.08271486 0.58351226]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36131794 0.12015963 0.44251451 0.07600791]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50620693 0. 0.29519213 0.19860094 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10275852 0.06257569 0.12122908 0.7134367 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.71799773 0.28200227]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11693437 0.07120819 0. 0.81185744]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7991526 0.09839419 0.10245322]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62152001 0.37847999 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.59780533 0.40219467 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13009877 0.46371718 0.28249034 0.12369371]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24108084 0.5768973 0.18202186]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18131988 0.64628702 0. 0.1723931 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18695604 0.33294735 0.4800966 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18813686 0.69285572 0.11900743]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42257103 0.28849128 0.10286165 0.18607603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.85341442 0.14658558]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35959766 0.64040234 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51261868 0. 0. 0.48738132]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11082848 0.60516917 0.12122975 0.16277259]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.76015646 0.23984354]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28069866 0. 0.30704227 0.41225907]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414333 0.31798092 0.24170013 0.26617562]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25533499 0. 0.3543891 0.39027591]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47758909 0. 0.52241091 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17195083 0.15642412 0.67162505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51917753 0.354445 0.12637747 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52364173 0.47635827 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.48989523 0.51010477]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41877136 0. 0.58122864 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73716397 0.26283603 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18840739 0.10634967 0.10986886 0.07391816 0.52145593]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24800137 0.53993331 0.21206532]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17195083 0.15642412 0.67162505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42257103 0.28849128 0.10286165 0.18607603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36131794 0.12015963 0.44251451 0.07600791]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51917753 0.354445 0.12637747 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52364173 0.47635827 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31474865 0.68525135 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21082898 0. 0.1229439 0.08271486 0.58351226]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11082848 0.60516917 0.12122975 0.16277259]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17414333 0.31798092 0.24170013 0.26617562]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73716397 0.26283603 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18695604 0.33294735 0.4800966 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13009877 0.46371718 0.28249034 0.12369371]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22984018 0. 0.13403019 0. 0.63612963]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10275852 0.06257569 0.12122908 0.7134367 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7991526 0.09839419 0.10245322]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35858926 0.21836603 0.4230447 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.17402906 0. 0.82597094]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41066307 0. 0.50294864 0.08638829]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.53306877 0.32473841 0.14219282]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2802718 0. 0.7197282]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.38503161 0.29266595 0.32230244]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1323756 0.72282532 0.14479907 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24108084 0.5768973 0.18202186]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47758909 0. 0.52241091 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69547374 0.30452626]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56979273 0. 0.43020727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.85341442 0.14658558]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.56814667 0.43185333 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.48989523 0.51010477]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34044649 0.65955351 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 22, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18223779 0.10419065 0.10901892 0.07634893 0.52820371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42175115 0.1134173 0.39070421 0.07412734]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38626372 0.2208382 0.23107202 0.16182605 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25330847 0.508928 0.23776353]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16540214 0.14967559 0.68492227]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33232268 0.66767732 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09516704 0.05902492 0.13327234 0.71253569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78047148 0.11942971 0.10009881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3310569 0.20532957 0.46361352 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.49574263 0. 0.29656488 0.20769249 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.30694625 0.69305375 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.58812205 0.41187795 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13255612 0.47328774 0.27129382 0.12286232]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.197627 0.3489224 0.4534506]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19613926 0.67566794 0.1281928 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36159037 0.63840963 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40468406 0.30207204 0.09968899 0.19355491]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25166705 0. 0.51507026 0.23326269]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60474828 0. 0.39525172]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57983643 0. 0.14283565 0.27732793]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19451652 0. 0.80548348]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33995247 0.66004753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.32823113 0. 0.67176887 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20446593 0.63718728 0.15834678]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16959505 0.32255774 0.23839517 0.26945204]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2429337 0.7570663 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11288166 0.59970208 0.14964197 0.13777429]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25034613 0. 0.35190478 0.39774909]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.67601136 0.16868321 0.15530543]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.52064545 0.47935455]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41568411 0. 0.58431589 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.54402824 0.45597176]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18223779 0.10419065 0.10901892 0.07634893 0.52820371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42175115 0.1134173 0.39070421 0.07412734]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40468406 0.30207204 0.09968899 0.19355491]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.197627 0.3489224 0.4534506]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13255612 0.47328774 0.27129382 0.12286232]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.47570424 0. 0.44068558 0.08361018]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30353832 0. 0.69646168]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.85051309 0. 0. 0.14948691]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38626372 0.2208382 0.23107202 0.16182605 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15112351 0.53958203 0.30929446 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20446593 0.63718728 0.15834678]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11288166 0.59970208 0.14964197 0.13777429]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5635578 0. 0.4364422]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21879585 0.78120415 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57983643 0. 0.14283565 0.27732793]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16540214 0.14967559 0.68492227]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33995247 0.66004753]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16959505 0.32255774 0.23839517 0.26945204]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25034613 0. 0.35190478 0.39774909]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28199411 0. 0.3738265 0.34417939]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41568411 0. 0.58431589 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78047148 0.11942971 0.10009881]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.50234057 0.28720272 0. 0.21045671 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09516704 0.05902492 0.13327234 0.71253569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86728575 0.13271425 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3310569 0.20532957 0.46361352 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25330847 0.508928 0.23776353]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61719845 0.38280155 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52495662 0.47504338 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51582755 0. 0.48417245]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.57710695 0. 0.42289305 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42998666 0. 0.57001334 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18223779 0.10419065 0.10901892 0.07634893 0.52820371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42175115 0.1134173 0.39070421 0.07412734]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.197627 0.3489224 0.4534506]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13255612 0.47328774 0.27129382 0.12286232]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30353832 0. 0.69646168]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40468406 0.30207204 0.09968899 0.19355491]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16540214 0.14967559 0.68492227]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50741466 0.1674556 0.32512973]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.69219442 0.18614489 0. 0.12166068]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38626372 0.2208382 0.23107202 0.16182605 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09516704 0.05902492 0.13327234 0.71253569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78047148 0.11942971 0.10009881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3310569 0.20532957 0.46361352 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25330847 0.508928 0.23776353]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35982589 0.37650051 0.2636736 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.6815773 0.3184227]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61719845 0.38280155 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52495662 0.47504338 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.58812205 0.41187795 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25166705 0. 0.51507026 0.23326269]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20446593 0.63718728 0.15834678]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11288166 0.59970208 0.14964197 0.13777429]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5635578 0. 0.4364422]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16959505 0.32255774 0.23839517 0.26945204]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28199411 0. 0.3738265 0.34417939]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23214773 0.4415285 0.32632377 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.54402824 0.45597176]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42998666 0. 0.57001334 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34459837 0.65540163 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51897632 0. 0. 0.48102368]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60474828 0. 0.39525172]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33995247 0.66004753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18223779 0.10419065 0.10901892 0.07634893 0.52820371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42175115 0.1134173 0.39070421 0.07412734]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.197627 0.3489224 0.4534506]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13255612 0.47328774 0.27129382 0.12286232]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30353832 0. 0.69646168]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.69219442 0.18614489 0. 0.12166068]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38626372 0.2208382 0.23107202 0.16182605 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25330847 0.508928 0.23776353]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16540214 0.14967559 0.68492227]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40468406 0.30207204 0.09968899 0.19355491]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57983643 0. 0.14283565 0.27732793]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16959505 0.32255774 0.23839517 0.26945204]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20446593 0.63718728 0.15834678]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11288166 0.59970208 0.14964197 0.13777429]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5635578 0. 0.4364422]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25166705 0. 0.51507026 0.23326269]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25034613 0. 0.35190478 0.39774909]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78047148 0.11942971 0.10009881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09516704 0.05902492 0.13327234 0.71253569]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.49574263 0. 0.29656488 0.20769249 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.06523295 0.14728944 0.78747761]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.54402824 0.45597176]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38627986 0. 0. 0.61372014]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.67645887 0. 0. 0.32354113]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52495662 0.47504338 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33232268 0.66767732 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.58812205 0.41187795 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51897632 0. 0. 0.48102368]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28199411 0. 0.3738265 0.34417939]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.30694625 0.69305375 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.52064545 0.47935455]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60474828 0. 0.39525172]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18223779 0.10419065 0.10901892 0.07634893 0.52820371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42175115 0.1134173 0.39070421 0.07412734]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.197627 0.3489224 0.4534506]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.69219442 0.18614489 0. 0.12166068]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38626372 0.2208382 0.23107202 0.16182605 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25330847 0.508928 0.23776353]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09516704 0.05902492 0.13327234 0.71253569]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16540214 0.14967559 0.68492227]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40468406 0.30207204 0.09968899 0.19355491]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36159037 0.63840963 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13255612 0.47328774 0.27129382 0.12286232]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20446593 0.63718728 0.15834678]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16959505 0.32255774 0.23839517 0.26945204]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78047148 0.11942971 0.10009881]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11288166 0.59970208 0.14964197 0.13777429]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2429337 0.7570663 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28199411 0. 0.3738265 0.34417939]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88632502 0. 0.11367498]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22268116 0.42352376 0. 0.35379508]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57983643 0. 0.14283565 0.27732793]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.54485204 0. 0.45514796]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18190613 0.6494905 0. 0.16860337]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.49574263 0. 0.29656488 0.20769249 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45034501 0. 0. 0.54965499]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62569473 0. 0.37430527 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.79390706 0. 0.20609294]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.67645887 0. 0. 0.32354113]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52495662 0.47504338 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51582755 0. 0.48417245]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10113662 0. 0.14163217 0.75723121]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.41659648 0. 0.58340352 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60474828 0. 0.39525172]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 23, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17269243 0.12227184 0.11656443 0.0922301 0.4962412 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37962684 0.13492235 0.41185694 0.07359386]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19719099 0.34667895 0.45613006]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12073026 0.48952021 0.26336414 0.1263854 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21338343 0.6187354 0.16788116]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.121716 0.60171948 0.132593 0.14397151]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55967283 0. 0.44032717]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16389408 0.66453486 0. 0.17157106]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34280778 0.24271901 0.23138936 0.18308385 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.79479746 0. 0.20520254]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64546684 0.22940397 0. 0.12512919]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44600967 0.3157893 0. 0.23820104 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30560371 0. 0.3329136 0.36148268]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78403975 0.11042875 0.1055315 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10416388 0.08365958 0.13828379 0.67389275]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58546899 0.41453101 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28261082 0.50603984 0.21134934]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.09338715 0.15436282 0.75225003]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.5113383 0.4886617]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1771797 0.3212757 0.23348737 0.26805723]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45811714 0. 0. 0.54188286]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.3769411 0.6230589 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57213282 0. 0.42786718]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21144028 0.15991452 0.62864521]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.440171 0.27933776 0.10208978 0.17840147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64705927 0. 0.35294073]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.53574949 0.33999301 0.1242575 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2420677 0.43893555 0.31899675 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.61176601 0.38823399 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56937538 0.43062462 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30182861 0. 0.69817139]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.57912237 0.42087763 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17269243 0.12227184 0.11656443 0.0922301 0.4962412 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37962684 0.13492235 0.41185694 0.07359386]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34280778 0.24271901 0.23138936 0.18308385 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12073026 0.48952021 0.26336414 0.1263854 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19719099 0.34667895 0.45613006]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2365035 0. 0.51591492 0.24758159]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21338343 0.6187354 0.16788116]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.121716 0.60171948 0.132593 0.14397151]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44600967 0.3157893 0. 0.23820104 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28261082 0.50603984 0.21134934]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10416388 0.08365958 0.13828379 0.67389275]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78403975 0.11042875 0.1055315 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31941603 0.25654007 0.4240439 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.65186011 0. 0. 0.34813989 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.3769411 0.6230589 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57213282 0. 0.42786718]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21144028 0.15991452 0.62864521]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.440171 0.27933776 0.10208978 0.17840147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.2174858 0.66388582 0.11862838]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.53574949 0.33999301 0.1242575 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56937538 0.43062462 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.68510811 0.15096826 0.16392364]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55967283 0. 0.44032717]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48855771 0. 0. 0.51144229]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.84840099 0.15159901]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30182861 0. 0.69817139]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73234816 0.26765184 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.47942884 0.52057116]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.5113383 0.4886617]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1771797 0.3212757 0.23348737 0.26805723]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2420677 0.43893555 0.31899675 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.57912237 0.42087763 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17269243 0.12227184 0.11656443 0.0922301 0.4962412 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28261082 0.50603984 0.21134934]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21144028 0.15991452 0.62864521]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.440171 0.27933776 0.10208978 0.17840147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37962684 0.13492235 0.41185694 0.07359386]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.53574949 0.33999301 0.1242575 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19719099 0.34667895 0.45613006]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.43883557 0. 0.47609246 0.08507197]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36257011 0.63742989 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.81173305 0. 0.18826695 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1771797 0.3212757 0.23348737 0.26805723]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78403975 0.11042875 0.1055315 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.121716 0.60171948 0.132593 0.14397151]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21338343 0.6187354 0.16788116]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12073026 0.48952021 0.26336414 0.1263854 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19674934 0. 0.13280242 0.10507821 0.56537004]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.83762025 0. 0. 0.16237975]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4526824 0. 0.30555285 0.24176475 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10416388 0.08365958 0.13828379 0.67389275]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56937538 0.43062462 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11367378 0. 0.15090875 0.73541746]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88136813 0. 0.11863187]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2311504 0.41913947 0. 0.34971013]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30560371 0. 0.3329136 0.36148268]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35545748 0.64454252 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35834728 0.64165272 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42963449 0. 0.57036551 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.55827338 0.44172662 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.55673497 0.29952599 0.14373905]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.78657815 0.21342185]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.4786146 0. 0.5213854 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.79479746 0. 0.20520254]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17269243 0.12227184 0.11656443 0.0922301 0.4962412 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10416388 0.08365958 0.13828379 0.67389275]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78403975 0.11042875 0.1055315 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31941603 0.25654007 0.4240439 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.1477949 0.14089612 0.11148224 0.59982674]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37962684 0.13492235 0.41185694 0.07359386]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19719099 0.34667895 0.45613006]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12073026 0.48952021 0.26336414 0.1263854 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30182861 0. 0.69817139]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64546684 0.22940397 0. 0.12512919]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.36932727 0.35208779 0.27858493 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2365035 0. 0.51591492 0.24758159]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21338343 0.6187354 0.16788116]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.121716 0.60171948 0.132593 0.14397151]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.5113383 0.4886617]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14032168 0.69369914 0. 0.16597919]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55967283 0. 0.44032717]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1771797 0.3212757 0.23348737 0.26805723]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45811714 0. 0. 0.54188286]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.57002673 0. 0.42997327 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28261082 0.50603984 0.21134934]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.3769411 0.6230589 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21144028 0.15991452 0.62864521]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.440171 0.27933776 0.10208978 0.17840147]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56937538 0.43062462 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57213282 0. 0.42786718]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2420677 0.43893555 0.31899675 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35545748 0.64454252 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48855771 0. 0. 0.51144229]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49896978 0.18235886 0.31867136]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64705927 0. 0.35294073]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73234816 0.26765184 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17269243 0.12227184 0.11656443 0.0922301 0.4962412 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37962684 0.13492235 0.41185694 0.07359386]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34280778 0.24271901 0.23138936 0.18308385 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10416388 0.08365958 0.13828379 0.67389275]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78403975 0.11042875 0.1055315 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31941603 0.25654007 0.4240439 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21144028 0.15991452 0.62864521]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.440171 0.27933776 0.10208978 0.17840147]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56937538 0.43062462 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42963449 0. 0.57036551 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28261082 0.50603984 0.21134934]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.36932727 0.35208779 0.27858493 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12073026 0.48952021 0.26336414 0.1263854 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19719099 0.34667895 0.45613006]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.2174858 0.66388582 0.11862838]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36257011 0.63742989 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2365035 0. 0.51591492 0.24758159]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.57002673 0. 0.42997327 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.121716 0.60171948 0.132593 0.14397151]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21338343 0.6187354 0.16788116]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.67572663 0.32427337]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.78657815 0.21342185]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30560371 0. 0.3329136 0.36148268]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57213282 0. 0.42786718]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.5113383 0.4886617]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.47942884 0.52057116]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1771797 0.3212757 0.23348737 0.26805723]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49896978 0.18235886 0.31867136]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36396779 0.63603221]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64705927 0. 0.35294073]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2311504 0.41913947 0. 0.34971013]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35545748 0.64454252 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
Iteration 24, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15968098 0.12004209 0.09862691 0.10639646 0.51525356]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1151063 0.50280196 0.2611415 0.12095024]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17715304 0.13317691 0. 0.11803821 0.57163184]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38414977 0.14776001 0.39911923 0.068971 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22324307 0.33418593 0.44257099]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63931114 0.2459057 0. 0.11478316]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.56820606 0.29511058 0.13668336]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40048701 0.59951299 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.68345235 0.31654765]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20828577 0.62649006 0.16522417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10914983 0.61082606 0.13279969 0.14722441]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81285911 0.08735101 0.09978987]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11020727 0.07339778 0.15124041 0.66515454]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46676606 0.53323394]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16613582 0.34274519 0.22765909 0.2634599 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12586462 0.7043656 0. 0.16976979]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55764451 0. 0.44235549]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2255625 0.46534491 0.30909259 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42574414 0. 0. 0.57425586]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.32647283 0.67352717 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.72220851 0.27779149 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41355323 0.31089359 0. 0.27555318 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57085382 0.42914618 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31462063 0.4803519 0.20502747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32912876 0.21919898 0.45167226 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.60544939 0. 0.39455061]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60024094 0.39975906 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20962968 0.14969432 0.640676 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41693418 0.3033661 0.10046247 0.17923725]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59849826 0. 0.14421128 0.25729046]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58340016 0.41659984 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35917972 0.64082028]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15968098 0.12004209 0.09862691 0.10639646 0.51525356]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11020727 0.07339778 0.15124041 0.66515454]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81285911 0.08735101 0.09978987]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32912876 0.21919898 0.45167226 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14285299 0.11736841 0.12661437 0.61316422]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31462063 0.4803519 0.20502747]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.13692915 0.14771605 0.7153548 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38414977 0.14776001 0.39911923 0.068971 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22324307 0.33418593 0.44257099]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63931114 0.2459057 0. 0.11478316]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.48105203 0.51894797 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1151063 0.50280196 0.2611415 0.12095024]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40048701 0.59951299 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23150995 0. 0.52522633 0.24326372]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20828577 0.62649006 0.16522417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10914983 0.61082606 0.13279969 0.14722441]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55764451 0. 0.44235549]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48762172 0. 0. 0.51237828]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.68176682 0. 0.31823318]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28046543 0. 0.34123479 0.37829978]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16613582 0.34274519 0.22765909 0.2634599 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.47424378 0.52575622]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2255625 0.46534491 0.30909259 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42188413 0. 0.57811587 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46676606 0.53323394]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41693418 0.3033661 0.10046247 0.17923725]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59849826 0. 0.14421128 0.25729046]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20962968 0.14969432 0.640676 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35917972 0.64082028]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.32673778 0.67326222 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58340016 0.41659984 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.7008555 0.2991445]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15968098 0.12004209 0.09862691 0.10639646 0.51525356]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38414977 0.14776001 0.39911923 0.068971 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22324307 0.33418593 0.44257099]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63931114 0.2459057 0. 0.11478316]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32941135 0.24763892 0.20346082 0.2194889 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11020727 0.07339778 0.15124041 0.66515454]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31462063 0.4803519 0.20502747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1298451 0.08647653 0. 0.78367837]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81285911 0.08735101 0.09978987]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60024094 0.39975906 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.36928588 0.3034063 0.32730781 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1151063 0.50280196 0.2611415 0.12095024]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40048701 0.59951299 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23150995 0. 0.52522633 0.24326372]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20828577 0.62649006 0.16522417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10914983 0.61082606 0.13279969 0.14722441]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.53013096 0. 0.46986904 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.68566644 0.14907073 0.16526282]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55764451 0. 0.44235549]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48762172 0. 0. 0.51237828]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.60544939 0. 0.39455061]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.68176682 0. 0.31823318]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41693418 0.3033661 0.10046247 0.17923725]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16613582 0.34274519 0.22765909 0.2634599 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25277232 0. 0.34637873 0.40084895]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.47424378 0.52575622]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42188413 0. 0.57811587 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50798381 0.36961485 0.12240135 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80583085 0. 0.19416915 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20962968 0.14969432 0.640676 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.1893977 0.8106023]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46676606 0.53323394]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15968098 0.12004209 0.09862691 0.10639646 0.51525356]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38414977 0.14776001 0.39911923 0.068971 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32941135 0.24763892 0.20346082 0.2194889 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10914983 0.61082606 0.13279969 0.14722441]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20828577 0.62649006 0.16522417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28046543 0. 0.34123479 0.37829978]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16613582 0.34274519 0.22765909 0.2634599 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55764451 0. 0.44235549]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25277232 0. 0.34637873 0.40084895]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45112647 0. 0.54887353 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81285911 0.08735101 0.09978987]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11020727 0.07339778 0.15124041 0.66515454]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46676606 0.53323394]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4220457 0.3172779 0.2606764 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1151063 0.50280196 0.2611415 0.12095024]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57085382 0.42914618 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32912876 0.21919898 0.45167226 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31462063 0.4803519 0.20502747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.32673778 0.67326222 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.60544939 0. 0.39455061]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20962968 0.14969432 0.640676 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41693418 0.3033661 0.10046247 0.17923725]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58340016 0.41659984 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42188413 0. 0.57811587 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.56820606 0.29511058 0.13668336]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22324307 0.33418593 0.44257099]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.23992847 0.6480784 0.11199313]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40048701 0.59951299 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.52029477 0.17230039 0.30740484]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.68176682 0. 0.31823318]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.75122496 0.24877504 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.68345235 0.31654765]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15968098 0.12004209 0.09862691 0.10639646 0.51525356]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11020727 0.07339778 0.15124041 0.66515454]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81285911 0.08735101 0.09978987]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32912876 0.21919898 0.45167226 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14285299 0.11736841 0.12661437 0.61316422]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38414977 0.14776001 0.39911923 0.068971 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41693418 0.3033661 0.10046247 0.17923725]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.45075304 0. 0.46831789 0.08092908]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22324307 0.33418593 0.44257099]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50798381 0.36961485 0.12240135 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43023232 0.56976768]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.84778672 0. 0. 0.15221328]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.36928588 0.3034063 0.32730781 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1151063 0.50280196 0.2611415 0.12095024]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20828577 0.62649006 0.16522417]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16613582 0.34274519 0.22765909 0.2634599 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80583085 0. 0.19416915 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20962968 0.14969432 0.640676 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.4110324 0.27301699 0.31595062]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10914983 0.61082606 0.13279969 0.14722441]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24951102 0.75048898 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15578936 0.68051185 0. 0.16369879]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48762172 0. 0. 0.51237828]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.53013096 0. 0.46986904 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31462063 0.4803519 0.20502747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.32673778 0.67326222 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.60544939 0. 0.39455061]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.58340016 0.41659984 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28046543 0. 0.34123479 0.37829978]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.60088117 0.39911883 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46676606 0.53323394]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45112647 0. 0.54887353 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
Iteration 25, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15901315 0.12156504 0.10000193 0.11665876 0.50276112]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30474113 0.47102492 0.22423395]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1810187 0. 0.11384102 0.13280295 0.57233734]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34577259 0.17110609 0.39769848 0.08542285]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2264802 0.33219238 0.44132742]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10643189 0.48411966 0.29737228 0.11207617]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33913989 0. 0.66086011]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.57408553 0.28408709 0. 0.14182738]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39856655 0.29362426 0.10430332 0.20350587]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56424155 0. 0.14765983 0.28809861]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17744492 0.29691335 0.23065056 0.29499118]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.66199104 0. 0. 0.33800896]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20438497 0.17310998 0.62250505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80189297 0. 0. 0.19810703]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42327449 0. 0.26619349 0.31053202 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12142414 0.58265637 0.1230837 0.1728358 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20105289 0.59550211 0.203445 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.3609647 0.28040743 0.35862787]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25240302 0.74759698 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29094523 0. 0.29492171 0.41413307]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61391465 0. 0.38608535 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11188354 0.07087112 0.13494869 0.68229665]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.67748135 0.32251865]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54142439 0.45857561 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12933746 0.08192707 0. 0.78873547]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75730473 0.13741145 0.10528382]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61220623 0.38779377 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20631119 0. 0.57643654 0.21725227]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.56618922 0.43381078]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.41593643 0.58406357]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.43879803 0.56120197]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.72627525 0.27372475]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15901315 0.12156504 0.10000193 0.11665876 0.50276112]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34577259 0.17110609 0.39769848 0.08542285]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31979228 0.24448016 0.20111446 0.2346131 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12142414 0.58265637 0.1230837 0.1728358 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20105289 0.59550211 0.203445 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29094523 0. 0.29492171 0.41413307]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17744492 0.29691335 0.23065056 0.29499118]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.49704311 0. 0.50295689]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25237987 0. 0.32805424 0.41956589]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49660633 0. 0.50339367 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75730473 0.13741145 0.10528382]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11188354 0.07087112 0.13494869 0.68229665]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30474113 0.47102492 0.22423395]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41781781 0.31942036 0.26276183 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12933746 0.08192707 0. 0.78873547]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.56618922 0.43381078]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43481227 0. 0.56518773 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39856655 0.29362426 0.10430332 0.20350587]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.26153916 0.60789027 0.13057057]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2264802 0.33219238 0.44132742]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10643189 0.48411966 0.29737228 0.11207617]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.54866048 0.45133952 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.67748135 0.32251865]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61220623 0.38779377 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.54178261 0.33279195 0.12542544]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.8120145 0. 0.1879855]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.66700502 0. 0.33299498]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33913989 0. 0.66086011]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50040111 0.36864585 0.13095304 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79258387 0. 0.20741613 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20438497 0.17310998 0.62250505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54142439 0.45857561 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15901315 0.12156504 0.10000193 0.11665876 0.50276112]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11188354 0.07087112 0.13494869 0.68229665]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30474113 0.47102492 0.22423395]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12933746 0.08192707 0. 0.78873547]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75730473 0.13741145 0.10528382]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61220623 0.38779377 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20438497 0.17310998 0.62250505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39856655 0.29362426 0.10430332 0.20350587]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54142439 0.45857561 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57609732 0. 0.42390268]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14455046 0.11891022 0.1387165 0.59782281]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.13900319 0.16215627 0.69884054]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10643189 0.48411966 0.29737228 0.11207617]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34577259 0.17110609 0.39769848 0.08542285]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2264802 0.33219238 0.44132742]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.57408553 0.28408709 0. 0.14182738]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48820739 0.17342455 0.33836806]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80189297 0. 0. 0.19810703]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0.1883355 0.8116645]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11986601 0.54522657 0.33490742 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40538987 0.59461013 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73788365 0.26211635 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26357303 0. 0.73642697 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20105289 0.59550211 0.203445 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17744492 0.29691335 0.23065056 0.29499118]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.56618922 0.43381078]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12142414 0.58265637 0.1230837 0.1728358 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23064281 0.38592781 0. 0.38342938]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25240302 0.74759698 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14679569 0.7044023 0.14880201 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3755956 0. 0. 0.6244044]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.82559627 0.17440373 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15901315 0.12156504 0.10000193 0.11665876 0.50276112]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12142414 0.58265637 0.1230837 0.1728358 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20105289 0.59550211 0.203445 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10643189 0.48411966 0.29737228 0.11207617]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2264802 0.33219238 0.44132742]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20631119 0. 0.57643654 0.21725227]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.74535861 0.25464139]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29094523 0. 0.29492171 0.41413307]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75730473 0.13741145 0.10528382]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41264244 0. 0. 0.58735756]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17744492 0.29691335 0.23065056 0.29499118]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25237987 0. 0.32805424 0.41956589]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39856655 0.29362426 0.10430332 0.20350587]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20438497 0.17310998 0.62250505]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11188354 0.07087112 0.13494869 0.68229665]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.21758008 0.78241992]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48820739 0.17342455 0.33836806]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34577259 0.17110609 0.39769848 0.08542285]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18001328 0.13761957 0.11320872 0. 0.56915844]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.26153916 0.60789027 0.13057057]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33913989 0. 0.66086011]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.66700502 0. 0.33299498]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73788365 0.26211635 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.43879803 0.56120197]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87794433 0. 0.12205567]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12041767 0. 0.14524217 0.73434016]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41781781 0.31942036 0.26276183 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30474113 0.47102492 0.22423395]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.39282607 0.60717393 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61391465 0. 0.38608535 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.45327767 0. 0.54672233 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48708449 0. 0. 0.51291551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15901315 0.12156504 0.10000193 0.11665876 0.50276112]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34577259 0.17110609 0.39769848 0.08542285]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39856655 0.29362426 0.10430332 0.20350587]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2264802 0.33219238 0.44132742]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10643189 0.48411966 0.29737228 0.11207617]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20105289 0.59550211 0.203445 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12142414 0.58265637 0.1230837 0.1728358 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17744492 0.29691335 0.23065056 0.29499118]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75730473 0.13741145 0.10528382]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11188354 0.07087112 0.13494869 0.68229665]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.56618922 0.43381078]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.14679569 0.7044023 0.14880201 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.49704311 0. 0.50295689]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23064281 0.38592781 0. 0.38342938]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15147693 0.68901304 0. 0.15951004]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33913989 0. 0.66086011]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41714939 0. 0.47979418 0.10305643]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56424155 0. 0.14765983 0.28809861]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80189297 0. 0. 0.19810703]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31979228 0.24448016 0.20111446 0.2346131 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35216355 0.22307325 0.42476321 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.30474113 0.47102492 0.22423395]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35941985 0.29566624 0.34491391 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49660633 0. 0.50339367 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.54866048 0.45133952 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.67748135 0.32251865]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20438497 0.17310998 0.62250505]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79258387 0. 0.20741613 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54142439 0.45857561 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61220623 0.38779377 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48708449 0. 0. 0.51291551]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3755956 0. 0. 0.6244044]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 26, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19161033 0.1187005 0.1096845 0.11915549 0.46084917]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27623551 0.46706963 0.25669486]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10776369 0.07988903 0.13037284 0.68197444]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80111443 0.10399365 0.09489192]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10821054 0.64120927 0.10095102 0.14962917]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17537544 0.5841803 0.24044426]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10056708 0.46722534 0.32618463 0.10602295]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22949304 0.31200244 0.45850452]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35705557 0.1510205 0.40235563 0.08956831]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.37315514 0.31592939 0.08777827 0.2231372 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16218811 0.32496122 0.22085127 0.2919994 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.70841972 0.29158028]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30159793 0. 0.28136463 0.41703744]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21741795 0. 0.12445769 0.13520431 0.52292004]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.4205703 0. 0.47392856 0.10550114]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45572645 0. 0.26087386 0.2833997 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3388523 0.25120317 0.40994453 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51833322 0. 0.48166678]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.47930651 0.52069349 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18876101 0. 0.61223751 0.19900148]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.40286912 0.59713088]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24026488 0. 0.32716827 0.43256685]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89409459 0. 0.10590541]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57427194 0.42572806 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15216729 0.14593628 0.70189643]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.17212863 0.82787137]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40906189 0.3463296 0. 0.24460851]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42342412 0. 0.57657588 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.58606746 0. 0.41393254]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4238134 0.5761866 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.75469438 0.24530562]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.81792245 0.18207755]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19161033 0.1187005 0.1096845 0.11915549 0.46084917]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10821054 0.64120927 0.10095102 0.14962917]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17537544 0.5841803 0.24044426]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16218811 0.32496122 0.22085127 0.2919994 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23089213 0.76910787 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10056708 0.46722534 0.32618463 0.10602295]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30159793 0. 0.28136463 0.41703744]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24026488 0. 0.32716827 0.43256685]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.51735386 0. 0.48264614 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21753026 0.13475761 0.12452198 0. 0.52319016]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14925021 0.69340261 0. 0.15734718]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22949304 0.31200244 0.45850452]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35705557 0.1510205 0.40235563 0.08956831]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24847027 0.15392461 0. 0. 0.59760513]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27623551 0.46706963 0.25669486]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29367391 0. 0. 0. 0.70632609]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10776369 0.07988903 0.13037284 0.68197444]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80111443 0.10399365 0.09489192]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3388523 0.25120317 0.40994453 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.64533372 0.35466628]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57427194 0.42572806 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.23488888 0.62580156 0.13930956]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4238134 0.5761866 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48679543 0. 0. 0.51320457]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.52288184 0.47711816]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42342412 0. 0.57657588 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15216729 0.14593628 0.70189643]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.17212863 0.82787137]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.37315514 0.31592939 0.08777827 0.2231372 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62771207 0. 0.37228793]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.48033597 0.40667334 0.1129907 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.78256972 0.21743028 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19161033 0.1187005 0.1096845 0.11915549 0.46084917]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35705557 0.1510205 0.40235563 0.08956831]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35539282 0.22016195 0.20343936 0.22100587 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10821054 0.64120927 0.10095102 0.14962917]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17537544 0.5841803 0.24044426]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30159793 0. 0.28136463 0.41703744]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80111443 0.10399365 0.09489192]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10776369 0.07988903 0.13037284 0.68197444]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.52288184 0.47711816]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16218811 0.32496122 0.22085127 0.2919994 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41968145 0. 0. 0.58031855]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45622015 0.28262338 0.26115647 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10056708 0.46722534 0.32618463 0.10602295]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.42175837 0. 0.57824163]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22907906 0.45898438 0.31193656 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.37315514 0.31592939 0.08777827 0.2231372 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22949304 0.31200244 0.45850452]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.23488888 0.62580156 0.13930956]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.54549214 0. 0.12831755 0.3261903 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.59537153 0.40462847 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14925021 0.69340261 0. 0.15734718]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.4238134 0.5761866 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.62579228 0. 0. 0.37420772]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.81792245 0.18207755]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48679543 0. 0. 0.51320457]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61747871 0.38252129 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27623551 0.46706963 0.25669486]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15216729 0.14593628 0.70189643]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51045108 0.48954892 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.37163138 0.62836862 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3388523 0.25120317 0.40994453 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.45252902 0. 0.54747098 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19161033 0.1187005 0.1096845 0.11915549 0.46084917]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27623551 0.46706963 0.25669486]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10776369 0.07988903 0.13037284 0.68197444]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80111443 0.10399365 0.09489192]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3388523 0.25120317 0.40994453 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21741795 0. 0.12445769 0.13520431 0.52292004]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35705557 0.1510205 0.40235563 0.08956831]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10056708 0.46722534 0.32618463 0.10602295]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22949304 0.31200244 0.45850452]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.37315514 0.31592939 0.08777827 0.2231372 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.40493137 0.59506863]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39218271 0.1658779 0.44193939 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45572645 0. 0.26087386 0.2833997 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.37995015 0.62004985 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15216729 0.14593628 0.70189643]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.54549214 0. 0.12831755 0.3261903 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.2729075 0.7270925 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.8095641 0. 0.1904359 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51045108 0.48954892 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51833322 0. 0.48166678]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.47930651 0.52069349 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10821054 0.64120927 0.10095102 0.14962917]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17537544 0.5841803 0.24044426]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30159793 0. 0.28136463 0.41703744]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18876101 0. 0.61223751 0.19900148]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.42175837 0. 0.57824163]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16218811 0.32496122 0.22085127 0.2919994 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48679543 0. 0. 0.51320457]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.40286912 0.59713088]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.52288184 0.47711816]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24026488 0. 0.32716827 0.43256685]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42342412 0. 0.57657588 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19161033 0.1187005 0.1096845 0.11915549 0.46084917]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35705557 0.1510205 0.40235563 0.08956831]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35539282 0.22016195 0.20343936 0.22100587 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10056708 0.46722534 0.32618463 0.10602295]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44615915 0.2763907 0. 0.27745014 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10821054 0.64120927 0.10095102 0.14962917]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.17537544 0.5841803 0.24044426]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30159793 0. 0.28136463 0.41703744]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80111443 0.10399365 0.09489192]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10776369 0.07988903 0.13037284 0.68197444]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.52288184 0.47711816]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41968145 0. 0. 0.58031855]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61747871 0.38252129 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3388523 0.25120317 0.40994453 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27623551 0.46706963 0.25669486]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.37995015 0.62004985 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51833322 0. 0.48166678]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.23488888 0.62580156 0.13930956]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22949304 0.31200244 0.45850452]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.51946657 0.36265588 0.11787755]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33356665 0. 0.66643335]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62771207 0. 0.37228793]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.75469438 0.24530562]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.42175837 0. 0.57824163]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.37315514 0.31592939 0.08777827 0.2231372 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15216729 0.14593628 0.70189643]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.17212863 0.82787137]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50399933 0.14003189 0.35596878]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.78256972 0.21743028 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16218811 0.32496122 0.22085127 0.2919994 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22907906 0.45898438 0.31193656 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.59537153 0.40462847 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
Iteration 27, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14896384 0.11082768 0.0976203 0.11177038 0.5308178 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30651837 0.12080887 0.48884679 0.08382597]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31749678 0.23621458 0.20806481 0.23822383 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10582566 0.07742735 0.13897386 0.67777313]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34610032 0.30485542 0.34904426 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24110369 0.50794515 0.25095116]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.4662113 0.5337887 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09823607 0.63898827 0.11869603 0.14407963]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19214897 0.57308254 0.23476849]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15727229 0.34040409 0.23130793 0.27101569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25109914 0.74890086 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11338163 0.51413297 0.2670902 0.10539521]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19162574 0.36662484 0.44174942]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.1742063 0.70491671 0.12087699]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42464362 0.30173639 0.08172654 0.19189345]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34326116 0.65673884 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60814227 0. 0.11704253 0.2748152 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17379332 0.12817537 0.69803132]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.29868629 0.70131371]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.85362326 0.14637674]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23335938 0. 0.54971871 0.21692192]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.71704876 0.28295124]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27211323 0. 0.32878718 0.39909959]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80541123 0.09596836 0.09862041]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.08659089 0.15542144 0.75798767]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49318548 0.50681452]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40540529 0. 0. 0.59459471]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23843734 0. 0.35068126 0.4108814 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36721155 0. 0. 0.63278845]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.57553424 0.42446576 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.66932089 0.33067911]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.35779536 0.64220464 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14896384 0.11082768 0.0976203 0.11177038 0.5308178 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30651837 0.12080887 0.48884679 0.08382597]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19162574 0.36662484 0.44174942]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59966046 0.23634571 0. 0.16399382]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11338163 0.51413297 0.2670902 0.10539521]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34326116 0.65673884 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42464362 0.30173639 0.08172654 0.19189345]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.7172919 0.2827081 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31749678 0.23621458 0.20806481 0.23822383 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10582566 0.07742735 0.13897386 0.67777313]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80541123 0.09596836 0.09862041]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32841971 0.24028831 0.43129198 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24110369 0.50794515 0.25095116]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34610032 0.30485542 0.34904426 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09823607 0.63898827 0.11869603 0.14407963]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19214897 0.57308254 0.23476849]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27211323 0. 0.32878718 0.39909959]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.53168026 0.46831974 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23335938 0. 0.54971871 0.21692192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.4500846 0. 0.5499154]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51825244 0. 0. 0.48174756]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52547974 0.37338689 0.10113337 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.66932089 0.33067911]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57748387 0.42251613 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17379332 0.12817537 0.69803132]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.83860317 0. 0.16139683 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.57553424 0.42446576 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.451701 0.548299]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49318548 0.50681452]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15727229 0.34040409 0.23130793 0.27101569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20459726 0.44283544 0. 0.3525673 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31601317 0.68398683 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14896384 0.11082768 0.0976203 0.11177038 0.5308178 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30651837 0.12080887 0.48884679 0.08382597]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19162574 0.36662484 0.44174942]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59966046 0.23634571 0. 0.16399382]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31749678 0.23621458 0.20806481 0.23822383 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10582566 0.07742735 0.13897386 0.67777313]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17379332 0.12817537 0.69803132]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11470712 0. 0.15063731 0.73465556]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80541123 0.09596836 0.09862041]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15727229 0.34040409 0.23130793 0.27101569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8935317 0.1064683 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43229519 0. 0.56770481 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24110369 0.50794515 0.25095116]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.15513717 0.84486283]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3218798 0.6781202 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34610032 0.30485542 0.34904426 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09823607 0.63898827 0.11869603 0.14407963]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19214897 0.57308254 0.23476849]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27211323 0. 0.32878718 0.39909959]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40540529 0. 0. 0.59459471]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20459726 0.44283544 0. 0.3525673 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.53168026 0.46831974 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11338163 0.51413297 0.2670902 0.10539521]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34326116 0.65673884 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42464362 0.30173639 0.08172654 0.19189345]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.59036316 0. 0.40963684]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23335938 0. 0.54971871 0.21692192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.4500846 0. 0.5499154]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31601317 0.68398683 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51825244 0. 0. 0.48174756]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52547974 0.37338689 0.10113337 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.83860317 0. 0.16139683 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14896384 0.11082768 0.0976203 0.11177038 0.5308178 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30651837 0.12080887 0.48884679 0.08382597]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11338163 0.51413297 0.2670902 0.10539521]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31749678 0.23621458 0.20806481 0.23822383 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24110369 0.50794515 0.25095116]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41568846 0. 0.27241265 0.3118989 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10582566 0.07742735 0.13897386 0.67777313]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.4662113 0.5337887 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09823607 0.63898827 0.11869603 0.14407963]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19214897 0.57308254 0.23476849]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15727229 0.34040409 0.23130793 0.27101569]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25109914 0.74890086 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27211323 0. 0.32878718 0.39909959]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23843734 0. 0.35068126 0.4108814 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80541123 0.09596836 0.09862041]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.08659089 0.15542144 0.75798767]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17379332 0.12817537 0.69803132]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42464362 0.30173639 0.08172654 0.19189345]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33456348 0.13186236 0.53357416 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19162574 0.36662484 0.44174942]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52547974 0.37338689 0.10113337 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.57553424 0.42446576 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0.17015534 0.82984466]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.66932089 0.33067911]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0. 1.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49318548 0.50681452]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.36721155 0. 0. 0.63278845]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45284247 0. 0.54715753 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.5798808 0.30124595 0.11887325]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.45353354 0.54646646]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.71704876 0.28295124]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.7172919 0.2827081 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.78687238 0.21312762 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14896384 0.11082768 0.0976203 0.11177038 0.5308178 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09823607 0.63898827 0.11869603 0.14407963]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19214897 0.57308254 0.23476849]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27211323 0. 0.32878718 0.39909959]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15727229 0.34040409 0.23130793 0.27101569]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80541123 0.09596836 0.09862041]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10582566 0.07742735 0.13897386 0.67777313]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49318548 0.50681452]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20459726 0.44283544 0. 0.3525673 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42464362 0.30173639 0.08172654 0.19189345]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.55674367 0. 0.44325633]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45284247 0. 0.54715753 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1677087 0.12477368 0.10990435 0. 0.59761327]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32841971 0.24028831 0.43129198 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24110369 0.50794515 0.25095116]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14991588 0.13205035 0. 0.71803378]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30651837 0.12080887 0.48884679 0.08382597]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.53168026 0.46831974 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.66932089 0.33067911]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17379332 0.12817537 0.69803132]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.462437 0.32859099 0. 0.20897201]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.57553424 0.42446576 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57748387 0.42251613 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11338163 0.51413297 0.2670902 0.10539521]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19162574 0.36662484 0.44174942]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.61126043 0. 0.38873957]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.45353354 0.54646646]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.1742063 0.70491671 0.12087699]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.85362326 0.14637674]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23335938 0. 0.54971871 0.21692192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.4500846 0. 0.5499154]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51825244 0. 0. 0.48174756]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 28, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15268492 0.11719527 0.09888572 0.12395707 0.50727702]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31158365 0.15179715 0.45886742 0.07775178]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20225801 0.34499356 0.45274842]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44319757 0.27155689 0.08852951 0.19671603]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16012179 0.32795326 0.24481214 0.26711281]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2387246 0.55179222 0.20948317]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09804657 0.59615665 0.13766066 0.16813612]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53262039 0. 0.46737961]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09458023 0.57497975 0.2373928 0.09304722]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43246259 0.56753741]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22253112 0. 0.55854468 0.2189242 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2382599 0. 0.36427844 0.39746166]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.48624456 0.29793273 0. 0.21582271]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.57579909 0.28051749 0. 0.14368342]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6925897 0. 0. 0.3074103]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17492636 0.15397746 0.67109618]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28863582 0.49495347 0.21641071]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30987985 0.23785225 0.20069233 0.25157558 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09408735 0.07393355 0.139595 0.6923841 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76578468 0.12278492 0.1114304 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30585985 0.24034372 0.45379643 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20676323 0. 0.79323677]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80029616 0. 0. 0.19970384]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34465338 0.2908078 0.36453882 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50408526 0. 0. 0.49591474]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.48598022 0. 0.51401978 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.6957807 0.3042193]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40262927 0. 0.59737073 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24278366 0. 0.34087638 0.41633995]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.47821881 0.52178119]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41596759 0. 0.58403241 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.52423951 0.47576049]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15268492 0.11719527 0.09888572 0.12395707 0.50727702]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31158365 0.15179715 0.45886742 0.07775178]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20225801 0.34499356 0.45274842]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09458023 0.57497975 0.2373928 0.09304722]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30987985 0.23785225 0.20069233 0.25157558 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.63504219 0.26219087 0.10276694]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30878782 0. 0.69121218]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.57579909 0.28051749 0. 0.14368342]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38768531 0.29757283 0. 0.31474186 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09408735 0.07393355 0.139595 0.6923841 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.48598022 0. 0.51401978 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09804657 0.59615665 0.13766066 0.16813612]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2387246 0.55179222 0.20948317]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.7184142 0.2815858]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.72482603 0.27517397]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24278366 0. 0.34087638 0.41633995]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76578468 0.12278492 0.1114304 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.08161223 0.15409322 0.76429455]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.52423951 0.47576049]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16012179 0.32795326 0.24481214 0.26711281]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2382599 0. 0.36427844 0.39746166]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36834314 0. 0. 0.63165686]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28863582 0.49495347 0.21641071]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17492636 0.15397746 0.67109618]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44319757 0.27155689 0.08852951 0.19671603]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60841754 0. 0.1215325 0.27004996]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53184653 0.46815347 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3683509 0.6316491 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34624667 0.65375333 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.31036247 0.68963753]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39542695 0. 0.60457305 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.66128451 0. 0.33871549]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15268492 0.11719527 0.09888572 0.12395707 0.50727702]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31158365 0.15179715 0.45886742 0.07775178]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09458023 0.57497975 0.2373928 0.09304722]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20225801 0.34499356 0.45274842]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22253112 0. 0.55854468 0.2189242 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30987985 0.23785225 0.20069233 0.25157558 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09408735 0.07393355 0.139595 0.6923841 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76578468 0.12278492 0.1114304 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30585985 0.24034372 0.45379643 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28863582 0.49495347 0.21641071]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17492636 0.15397746 0.67109618]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44319757 0.27155689 0.08852951 0.19671603]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53184653 0.46815347 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3683509 0.6316491 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34465338 0.2908078 0.36453882 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09804657 0.59615665 0.13766066 0.16813612]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2387246 0.55179222 0.20948317]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.7184142 0.2815858]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33785226 0.16459468 0.49755305 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30878782 0. 0.69121218]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67241381 0.32758619 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.54236732 0.45763268 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5599741 0.4400259 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.72482603 0.27517397]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24278366 0. 0.34087638 0.41633995]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.4501704 0.5498296]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.52423951 0.47576049]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16012179 0.32795326 0.24481214 0.26711281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21848082 0.44748123 0.33403796 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39542695 0. 0.60457305 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.4877078 0.15899627 0.35329593]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.57991158 0. 0.42008842]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15268492 0.11719527 0.09888572 0.12395707 0.50727702]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31158365 0.15179715 0.45886742 0.07775178]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20225801 0.34499356 0.45274842]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44319757 0.27155689 0.08852951 0.19671603]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43246259 0.56753741]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.57579909 0.28051749 0. 0.14368342]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30987985 0.23785225 0.20069233 0.25157558 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28863582 0.49495347 0.21641071]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09408735 0.07393355 0.139595 0.6923841 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57150342 0. 0.42849658]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17492636 0.15397746 0.67109618]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60841754 0. 0.1215325 0.27004996]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53184653 0.46815347 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40658763 0. 0.2633247 0.33008768 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09458023 0.57497975 0.2373928 0.09304722]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22253112 0. 0.55854468 0.2189242 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2387246 0.55179222 0.20948317]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50408526 0. 0. 0.49591474]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55192243 0. 0. 0.44807757 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1093524 0.08592878 0. 0.80471882]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76578468 0.12278492 0.1114304 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.5599741 0.4400259 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09804657 0.59615665 0.13766066 0.16813612]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.72482603 0.27517397]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24278366 0. 0.34087638 0.41633995]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.66128451 0. 0.33871549]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.31036247 0.68963753]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16012179 0.32795326 0.24481214 0.26711281]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2382599 0. 0.36427844 0.39746166]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.4501704 0.5498296]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.52423951 0.47576049]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39542695 0. 0.60457305 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15268492 0.11719527 0.09888572 0.12395707 0.50727702]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31158365 0.15179715 0.45886742 0.07775178]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44319757 0.27155689 0.08852951 0.19671603]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20225801 0.34499356 0.45274842]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09458023 0.57497975 0.2373928 0.09304722]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2387246 0.55179222 0.20948317]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09804657 0.59615665 0.13766066 0.16813612]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53262039 0. 0.46737961]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12402221 0.7539658 0. 0.12201198]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30878782 0. 0.69121218]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36734568 0. 0.54098783 0.09166649]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60841754 0. 0.1215325 0.27004996]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80029616 0. 0. 0.19970384]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30987985 0.23785225 0.20069233 0.25157558 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50408526 0. 0. 0.49591474]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38768531 0.29757283 0. 0.31474186 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09408735 0.07393355 0.139595 0.6923841 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76578468 0.12278492 0.1114304 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30585985 0.24034372 0.45379643 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.48598022 0. 0.51401978 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24278366 0. 0.34087638 0.41633995]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28863582 0.49495347 0.21641071]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34624667 0.65375333 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57150342 0. 0.42849658]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17492636 0.15397746 0.67109618]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.4501704 0.5498296]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.52423951 0.47576049]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16012179 0.32795326 0.24481214 0.26711281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21848082 0.44748123 0.33403796 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.83350573 0. 0.16649427 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20676323 0. 0.79323677]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.57257868 0.42742132 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 29, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15958321 0.11143323 0.09386021 0.14233323 0.49279012]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10464014 0.08106729 0.1323325 0.68196007]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77216843 0.11823061 0.10960096]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16188173 0.31789063 0.24708629 0.27314134]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09038825 0.63997713 0.11854684 0.15108778]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23876 0.520528 0.240712]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22271418 0.43734862 0.3399372 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86721615 0.13278385 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32901575 0.25489658 0.41608768 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.13259282 0.11168293 0.16936029 0.58636396]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35963758 0.13828351 0.42534051 0.07673839]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18773896 0.35602634 0.4562347 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42277455 0.29559101 0.09734806 0.18428638]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43831518 0.56168482]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11695082 0.51200654 0.26895922 0.10208343]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32055433 0.2700029 0.40944278 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25106252 0. 0.32927587 0.41966162]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.54279977 0.45720023 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26571741 0.50935112 0.22493146]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.37988459 0.62011541 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54156327 0. 0.45843673]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.57981656 0.30458011 0.11560333]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62582727 0.24063557 0. 0.13353716]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.72487414 0.27512586]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64311361 0. 0.35688639]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.31445249 0.68554751 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.43965735 0.56034265]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33741362 0.66258638 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60018335 0. 0.13819821 0.26161844]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15213697 0.13526152 0.71260151]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17593408 0. 0.82406592]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34565396 0.65434604]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15958321 0.11143323 0.09386021 0.14233323 0.49279012]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35963758 0.13828351 0.42534051 0.07673839]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18773896 0.35602634 0.4562347 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62582727 0.24063557 0. 0.13353716]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31462954 0.21969847 0.18505201 0.28061999 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11695082 0.51200654 0.26895922 0.10208343]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23876 0.520528 0.240712]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.15997852 0.70038026 0. 0.13964122]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34525733 0.65474267 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.53393852 0. 0. 0.46606148]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64311361 0. 0.35688639]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42277455 0.29559101 0.09734806 0.18428638]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15213697 0.13526152 0.71260151]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51208935 0.16864825 0.3192624 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16188173 0.31789063 0.24708629 0.27314134]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.61597194 0. 0.38402806]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38607315 0.26958588 0. 0.34434098 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10464014 0.08106729 0.1323325 0.68196007]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43911726 0. 0.56088274 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09038825 0.63997713 0.11854684 0.15108778]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.68378961 0.31621039]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.3792909 0.29481077 0.32589833]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25106252 0. 0.32927587 0.41966162]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.47495803 0.52504197]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43261401 0. 0.56738599 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26571741 0.50935112 0.22493146]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.6936718 0.3063282]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.09054157 0.14779811 0.76166032]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77216843 0.11823061 0.10960096]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.37988459 0.62011541 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52935898 0.47064102 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51893866 0.48106134]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15958321 0.11143323 0.09386021 0.14233323 0.49279012]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35963758 0.13828351 0.42534051 0.07673839]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18773896 0.35602634 0.4562347 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62582727 0.24063557 0. 0.13353716]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42277455 0.29559101 0.09734806 0.18428638]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34525733 0.65474267 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11695082 0.51200654 0.26895922 0.10208343]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60018335 0. 0.13819821 0.26161844]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15213697 0.13526152 0.71260151]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26571741 0.50935112 0.22493146]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31462954 0.21969847 0.18505201 0.28061999 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10464014 0.08106729 0.1323325 0.68196007]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.6936718 0.3063282]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17593408 0. 0.82406592]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34565396 0.65434604]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82414615 0. 0. 0.17585385]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32055433 0.2700029 0.40944278 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09038825 0.63997713 0.11854684 0.15108778]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23876 0.520528 0.240712]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23965653 0. 0.55115332 0.20919015]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.68378961 0.31621039]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25106252 0. 0.32927587 0.41966162]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77216843 0.11823061 0.10960096]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37431561 0. 0. 0.62568439]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.54279977 0.45720023 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12059936 0.09343128 0. 0.78596936]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87570337 0. 0.12429663]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56346772 0.43653228 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.53393852 0. 0. 0.46606148]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16188173 0.31789063 0.24708629 0.27314134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23732518 0. 0.36223853 0.40043629]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3958298 0. 0.6041702 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15958321 0.11143323 0.09386021 0.14233323 0.49279012]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09038825 0.63997713 0.11854684 0.15108778]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23876 0.520528 0.240712]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11695082 0.51200654 0.26895922 0.10208343]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18606668 0.12992602 0.10943669 0. 0.57457061]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.57981656 0.30458011 0.11560333]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18773896 0.35602634 0.4562347 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35963758 0.13828351 0.42534051 0.07673839]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34525733 0.65474267 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42277455 0.29559101 0.09734806 0.18428638]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16188173 0.31789063 0.24708629 0.27314134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.68378961 0.31621039]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25106252 0. 0.32927587 0.41966162]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77216843 0.11823061 0.10960096]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10464014 0.08106729 0.1323325 0.68196007]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51893866 0.48106134]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23732518 0. 0.36223853 0.40043629]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37431561 0. 0. 0.62568439]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3958298 0. 0.6041702 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4683694 0.32746953 0. 0.20416107]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15213697 0.13526152 0.71260151]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.61597194 0. 0.38402806]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62582727 0.24063557 0. 0.13353716]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20893144 0.14589196 0. 0. 0.6451766 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26571741 0.50935112 0.22493146]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32901575 0.25489658 0.41608768 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54156327 0. 0.45843673]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52935898 0.47064102 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56346772 0.43653228 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24461946 0. 0. 0. 0.75538054]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64311361 0. 0.35688639]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.72487414 0.27512586]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15958321 0.11143323 0.09386021 0.14233323 0.49279012]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35963758 0.13828351 0.42534051 0.07673839]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18773896 0.35602634 0.4562347 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.62582727 0.24063557 0. 0.13353716]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11695082 0.51200654 0.26895922 0.10208343]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34525733 0.65474267 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23965653 0. 0.55115332 0.20919015]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23876 0.520528 0.240712]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16188173 0.31789063 0.24708629 0.27314134]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42277455 0.29559101 0.09734806 0.18428638]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.15213697 0.13526152 0.71260151]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51208935 0.16864825 0.3192624 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34565396 0.65434604]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.72227826 0.27772174 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31462954 0.21969847 0.18505201 0.28061999 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.53393852 0. 0. 0.46606148]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.3792909 0.29481077 0.32589833]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.31445249 0.68554751 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09038825 0.63997713 0.11854684 0.15108778]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.47495803 0.52504197]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77216843 0.11823061 0.10960096]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10464014 0.08106729 0.1323325 0.68196007]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51893866 0.48106134]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10647537 0.75387904 0.13964558 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38607315 0.26958588 0. 0.34434098 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32901575 0.25489658 0.41608768 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52935898 0.47064102 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44157057 0. 0.55842943 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26571741 0.50935112 0.22493146]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34283086 0.65716914 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43911726 0. 0.56088274 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43261401 0. 0.56738599 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
Iteration 30, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14982806 0.12792903 0.11932611 0.12951346 0.47340334]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08022153 0.67593423 0.10069435 0.14314989]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23295878 0.57254183 0.19449939]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16286099 0.32248633 0.24137835 0.27327433]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28920993 0.71079007 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08494575 0.59369591 0.23253352 0.08882482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18980418 0.39535576 0.41484006]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3540034 0.12180541 0.44682735 0.07736383]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1721199 0.14696268 0.13707979 0. 0.54383763]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18855426 0.69168685 0.11975888]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32436291 0.67563709 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2090694 0. 0.57231399 0.21861661]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24754705 0. 0.31072197 0.44173098]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77305284 0.11689032 0.11005684]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09792203 0.07338201 0.13233157 0.69636438]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51505521 0.48494479]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35913962 0. 0. 0.64086038]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37732158 0.32217186 0.30050656 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26566333 0.50778935 0.22654733]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16378488 0.16125321 0.6749619 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34347716 0.65652284 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32249851 0.24167788 0.43582361 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19527334 0. 0.80472666]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43195587 0.28047206 0.09513684 0.19243523]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42527905 0. 0.57472095 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5566626 0. 0.4433374 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48883853 0. 0. 0.51116147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61156738 0. 0.38843262]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49375047 0.16748143 0.3387681 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33082783 0.66917217]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24038038 0. 0.35627081 0.40334881]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4028826 0. 0.5971174 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14982806 0.12792903 0.11932611 0.12951346 0.47340334]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09792203 0.07338201 0.13233157 0.69636438]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77305284 0.11689032 0.11005684]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08022153 0.67593423 0.10069435 0.14314989]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8753758 0. 0.1246242]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16286099 0.32248633 0.24137835 0.27327433]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23295878 0.57254183 0.19449939]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08920385 0.75161791 0. 0.15917824]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54498614 0. 0.45501386]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08494575 0.59369591 0.23253352 0.08882482]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24038038 0. 0.35627081 0.40334881]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32249851 0.24167788 0.43582361 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.1504743 0.14035527 0.15233796 0.55683247]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26566333 0.50778935 0.22654733]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.35671934 0.64328066 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53973502 0. 0.46026498]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.16521603 0.17932119 0.65546278]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3540034 0.12180541 0.44682735 0.07736383]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43195587 0.28047206 0.09513684 0.19243523]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16378488 0.16125321 0.6749619 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49375047 0.16748143 0.3387681 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.4031036 0. 0.50880222 0.08809418]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18980418 0.39535576 0.41484006]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.74671302 0.25328698 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37341849 0. 0. 0.62658151]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.48797556 0.51202444]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11068334 0.77357894 0. 0.11573772]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82065436 0. 0. 0.17934564]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.47953029 0.52046971 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35913962 0. 0. 0.64086038]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48883853 0. 0. 0.51116147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50389442 0.49610558 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14982806 0.12792903 0.11932611 0.12951346 0.47340334]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3540034 0.12180541 0.44682735 0.07736383]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18980418 0.39535576 0.41484006]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63995103 0.22019421 0. 0.13985477]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28452148 0.24293552 0.22659868 0.24594432 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08494575 0.59369591 0.23253352 0.08882482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32436291 0.67563709 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43195587 0.28047206 0.09513684 0.19243523]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16286099 0.32248633 0.24137835 0.27327433]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77305284 0.11689032 0.11005684]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21468013 0.42509508 0. 0.3602248 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08022153 0.67593423 0.10069435 0.14314989]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23295878 0.57254183 0.19449939]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24754705 0. 0.31072197 0.44173098]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33555556 0.66444444 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54498614 0. 0.45501386]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47737149 0.30996074 0. 0.21266777]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2090694 0. 0.57231399 0.21861661]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48883853 0. 0. 0.51116147]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36788337 0.31411314 0. 0.31800349 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09792203 0.07338201 0.13233157 0.69636438]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86865418 0.13134582 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32249851 0.24167788 0.43582361 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.49692276 0. 0.50307724 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44341893 0. 0.55658107 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26566333 0.50778935 0.22654733]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16378488 0.16125321 0.6749619 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.69180338 0. 0. 0.30819662]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61156738 0. 0.38843262]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50389442 0.49610558 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.35671934 0.64328066 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34347716 0.65652284 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14982806 0.12792903 0.11932611 0.12951346 0.47340334]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08494575 0.59369591 0.23253352 0.08882482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18980418 0.39535576 0.41484006]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3540034 0.12180541 0.44682735 0.07736383]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32436291 0.67563709 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2090694 0. 0.57231399 0.21861661]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23295878 0.57254183 0.19449939]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48883853 0. 0. 0.51116147]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63995103 0.22019421 0. 0.13985477]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17012888 0.14526266 0. 0.14706176 0.5375467 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26566333 0.50778935 0.22654733]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09792203 0.07338201 0.13233157 0.69636438]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77305284 0.11689032 0.11005684]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08022153 0.67593423 0.10069435 0.14314989]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19904229 0. 0. 0.17205492 0.62890279]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61156738 0. 0.38843262]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43195587 0.28047206 0.09513684 0.19243523]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16378488 0.16125321 0.6749619 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49375047 0.16748143 0.3387681 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33082783 0.66917217]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.53636159 0. 0. 0.46363841 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.73488807 0.10947675 0.15563518]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.74642902 0.25357098]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.41294538 0.58705462]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8753758 0. 0.1246242]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32249851 0.24167788 0.43582361 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53973502 0. 0.46026498]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50389442 0.49610558 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57162709 0.42837291 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16286099 0.32248633 0.24137835 0.27327433]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21468013 0.42509508 0. 0.3602248 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37341849 0. 0. 0.62658151]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14982806 0.12792903 0.11932611 0.12951346 0.47340334]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3540034 0.12180541 0.44682735 0.07736383]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18980418 0.39535576 0.41484006]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08494575 0.59369591 0.23253352 0.08882482]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31391051 0. 0.68608949]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63995103 0.22019421 0. 0.13985477]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28452148 0.24293552 0.22659868 0.24594432 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08022153 0.67593423 0.10069435 0.14314989]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23295878 0.57254183 0.19449939]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24754705 0. 0.31072197 0.44173098]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37732158 0.32217186 0.30050656 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09792203 0.07338201 0.13233157 0.69636438]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77305284 0.11689032 0.11005684]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32249851 0.24167788 0.43582361 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26566333 0.50778935 0.22654733]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.51739685 0.48260315 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69149392 0.30850608]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16378488 0.16125321 0.6749619 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57162709 0.42837291 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2090694 0. 0.57231399 0.21861661]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54498614 0. 0.45501386]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.48883853 0. 0. 0.51116147]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61156738 0. 0.38843262]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43195587 0.28047206 0.09513684 0.19243523]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19527334 0. 0.80472666]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49375047 0.16748143 0.3387681 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33082783 0.66917217]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16286099 0.32248633 0.24137835 0.27327433]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24038038 0. 0.35627081 0.40334881]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.41294538 0.58705462]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.4028826 0. 0.5971174 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51505521 0.48494479]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
Iteration 31, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13264025 0.14023435 0.11799408 0.1141516 0.49497972]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37135157 0.12535754 0.418576 0.0847149 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38212407 0.31920919 0.10648211 0.19218463]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17165284 0.16229299 0.66605417]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51662344 0.17233575 0.31104081]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16752146 0.33741152 0.24368473 0.25138228]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08417973 0.62860156 0.11587758 0.17134112]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24842655 0.57658057 0.17499289]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22665613 0. 0.31200342 0.46134045]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7824552 0.10951619 0.1080286 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08595545 0.06337762 0.12839333 0.7222736 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51401403 0.48598597 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09177172 0. 0.13708121 0.77114707]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2832302 0.49426162 0.22250818]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10635036 0. 0. 0.89364964]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.26264343 0.27768063 0.23364225 0.2260337 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0. 1.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.50341905 0.49658095]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22377438 0.45071272 0.32551291 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.32944369 0. 0. 0.67055631]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.37658934 0.31686468 0.30654598 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56003304 0. 0.43996696]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.508276 0.491724 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08889071 0.56885232 0.22939012 0.11286685]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19785449 0.35947282 0.44267269]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.62419446 0. 0.37580554]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.44813916 0.55186084]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2061723 0. 0.53204535 0.26178234]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58671504 0. 0.41328496]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33176969 0.66823031 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44058181 0. 0. 0.55941819]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42457528 0. 0.47856812 0.0968566 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.83167807 0.16832193]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13264025 0.14023435 0.11799408 0.1141516 0.49497972]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08417973 0.62860156 0.11587758 0.17134112]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7824552 0.10951619 0.1080286 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08595545 0.06337762 0.12839333 0.7222736 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2832302 0.49426162 0.22250818]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17165284 0.16229299 0.66605417]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38212407 0.31920919 0.10648211 0.19218463]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51401403 0.48598597 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36428705 0.63571295 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09861725 0.07271356 0. 0.8286692 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.50341905 0.49658095]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16752146 0.33741152 0.24368473 0.25138228]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24842655 0.57658057 0.17499289]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09521276 0.71098928 0. 0.19379796]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58671504 0. 0.41328496]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25282882 0. 0.36777689 0.37939429]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.32944369 0. 0. 0.67055631]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40739042 0. 0.59260958 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14973245 0.15830513 0.13319895 0. 0.55876347]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37135157 0.12535754 0.418576 0.0847149 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51662344 0.17233575 0.31104081]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19785449 0.35947282 0.44267269]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08889071 0.56885232 0.22939012 0.11286685]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30889319 0. 0.69110681]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35652484 0.64347516]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42457528 0. 0.47856812 0.0968566 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81424879 0. 0. 0.18575121]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33934736 0.35877612 0.30187652 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.52921822 0. 0.47078178 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2061723 0. 0.53204535 0.26178234]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57559554 0.42440446 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.67022775 0.32977225]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13264025 0.14023435 0.11799408 0.1141516 0.49497972]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37135157 0.12535754 0.418576 0.0847149 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.26264343 0.27768063 0.23364225 0.2260337 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08417973 0.62860156 0.11587758 0.17134112]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16752146 0.33741152 0.24368473 0.25138228]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24842655 0.57658057 0.17499289]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08889071 0.56885232 0.22939012 0.11286685]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.76716463 0.23283537]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10158551 0.758577 0.1398375 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25282882 0. 0.36777689 0.37939429]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38212407 0.31920919 0.10648211 0.19218463]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17165284 0.16229299 0.66605417]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51662344 0.17233575 0.31104081]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19940802 0.66583479 0.13475719]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.74986073 0.25013927 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19785449 0.35947282 0.44267269]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.49222574 0.50777426]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7824552 0.10951619 0.1080286 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08595545 0.06337762 0.12839333 0.7222736 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.50341905 0.49658095]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42077808 0. 0.57922192 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33934736 0.35877612 0.30187652 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30949687 0.22820165 0.46230148 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2832302 0.49426162 0.22250818]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51401403 0.48598597 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57559554 0.42440446 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36428705 0.63571295 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.54306317 0.45693683 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11535112 0.73818457 0. 0.14646432]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.44813916 0.55186084]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.83167807 0.16832193]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44058181 0. 0. 0.55941819]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13264025 0.14023435 0.11799408 0.1141516 0.49497972]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37135157 0.12535754 0.418576 0.0847149 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.26264343 0.27768063 0.23364225 0.2260337 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08889071 0.56885232 0.22939012 0.11286685]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19785449 0.35947282 0.44267269]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19940802 0.66583479 0.13475719]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35500591 0.64499409 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2061723 0. 0.53204535 0.26178234]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.59673482 0. 0.40326518]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2792839 0. 0.7207161 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24842655 0.57658057 0.17499289]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34271647 0.36233812 0. 0.2949454 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2832302 0.49426162 0.22250818]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08595545 0.06337762 0.12839333 0.7222736 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.53745799 0. 0. 0.46254201 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.06933756 0.14046725 0.79019519]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7824552 0.10951619 0.1080286 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33048604 0.66951396 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17165284 0.16229299 0.66605417]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56003304 0. 0.43996696]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19592388 0.80407612]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38212407 0.31920919 0.10648211 0.19218463]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08417973 0.62860156 0.11587758 0.17134112]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.76716463 0.23283537]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22665613 0. 0.31200342 0.46134045]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.50341905 0.49658095]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16752146 0.33741152 0.24368473 0.25138228]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51662344 0.17233575 0.31104081]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35652484 0.64347516]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.40530958 0.29272194 0.30196849]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.32944369 0. 0. 0.67055631]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.57305549 0. 0.42694451]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13264025 0.14023435 0.11799408 0.1141516 0.49497972]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08595545 0.06337762 0.12839333 0.7222736 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7824552 0.10951619 0.1080286 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08417973 0.62860156 0.11587758 0.17134112]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16752146 0.33741152 0.24368473 0.25138228]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24842655 0.57658057 0.17499289]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10158551 0.758577 0.1398375 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.58671504 0. 0.41328496]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08889071 0.56885232 0.22939012 0.11286685]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19785449 0.35947282 0.44267269]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37135157 0.12535754 0.418576 0.0847149 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38212407 0.31920919 0.10648211 0.19218463]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17165284 0.16229299 0.66605417]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51662344 0.17233575 0.31104081]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35500591 0.64499409 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35652484 0.64347516]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.42457528 0. 0.47856812 0.0968566 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2061723 0. 0.53204535 0.26178234]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25282882 0. 0.36777689 0.37939429]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87868549 0. 0.12131451]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30949687 0.22820165 0.46230148 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.16167956 0.13603822 0.13160814 0.57067408]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81424879 0. 0. 0.18575121]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.37658934 0.31686468 0.30654598 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44058181 0. 0. 0.55941819]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.55126609 0. 0.44873391 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2832302 0.49426162 0.22250818]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.42077808 0. 0.57922192 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39990442 0. 0. 0.60009558]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51401403 0.48598597 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33048604 0.66951396 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.68956815 0.31043185]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
Iteration 32, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12864315 0.12729275 0.10103008 0.11595552 0.5270785 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27541798 0.49968026 0.22490176]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09446376 0.06889085 0.13862303 0.69802236]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79826478 0.09806051 0.10367471]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31281707 0.22813228 0.45905065 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55048393 0. 0.44951607]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14740699 0. 0.11576629 0.13286874 0.60395797]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09257978 0.55390598 0.22960071 0.12391353]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22010804 0.3565539 0.42333806]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41005106 0.3145749 0.09794938 0.17742467]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1770236 0.16300275 0.65997366]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.53322394 0.16603026 0.3007458 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.45718371 0.54281629]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35530443 0.11530387 0.44373265 0.08565905]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16670592 0. 0. 0.15026428 0.6830298 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.17885011 0.68828245 0.13286744]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20753423 0. 0.51469131 0.27777446]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.52593562 0. 0. 0.47406438 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57827424 0.42172576 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5206173 0.4793827 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08582339 0.63780481 0.10984744 0.16652435]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.48608524 0.51391476]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16270074 0.32658983 0.25349904 0.2572104 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09641425 0.7165118 0. 0.18707395]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21904015 0.43968012 0.34127973 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35569575 0.64430425]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.57375695 0. 0.42624305]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.56299965 0.43700035 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22588041 0.60525309 0.1688665 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.64948081 0.35051919]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.78185993 0.21814007]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1186015 0.8813985 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12864315 0.12729275 0.10103008 0.11595552 0.5270785 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08582339 0.63780481 0.10984744 0.16652435]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22588041 0.60525309 0.1688665 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16270074 0.32658983 0.25349904 0.2572104 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79826478 0.09806051 0.10367471]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09446376 0.06889085 0.13862303 0.69802236]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.48608524 0.51391476]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23695343 0. 0.30328244 0.45976413]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21795115 0.43749418 0. 0.34455467]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41005106 0.3145749 0.09794938 0.17742467]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1770236 0.16300275 0.65997366]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.53322394 0.16603026 0.3007458 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35530443 0.11530387 0.44373265 0.08565905]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1455166 0.14398908 0.11428167 0. 0.59621264]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31281707 0.22813228 0.45905065 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5206173 0.4793827 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27541798 0.49968026 0.22490176]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.1685101 0.13374358 0. 0.69774632]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.68961173 0.31038827]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.4052729 0. 0.5947271 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.16084812 0. 0.83915188]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.17885011 0.68828245 0.13286744]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.76256094 0.23743906 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22010804 0.3565539 0.42333806]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.55942052 0. 0.44057948]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27177393 0.72822607 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.3400997 0. 0. 0.6599003]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09257978 0.55390598 0.22960071 0.12391353]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.83819344 0.16180656]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.45718371 0.54281629]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.61041838 0.25302579 0.13655584]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.81718802 0. 0.18281198]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12864315 0.12729275 0.10103008 0.11595552 0.5270785 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35530443 0.11530387 0.44373265 0.08565905]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22010804 0.3565539 0.42333806]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09257978 0.55390598 0.22960071 0.12391353]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34207689 0. 0.65792311]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63872961 0.2072814 0. 0.15398899]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27201798 0.26916254 0.21362971 0.24518977 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27541798 0.49968026 0.22490176]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09446376 0.06889085 0.13862303 0.69802236]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79826478 0.09806051 0.10367471]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08582339 0.63780481 0.10984744 0.16652435]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16270074 0.32658983 0.25349904 0.2572104 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88505359 0. 0.11494641]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31281707 0.22813228 0.45905065 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55048393 0. 0.44951607]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1770236 0.16300275 0.65997366]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57827424 0.42172576 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37220038 0. 0.2923081 0.33549152 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20753423 0. 0.51469131 0.27777446]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22588041 0.60525309 0.1688665 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.42763344 0. 0. 0.57236656]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.57375695 0. 0.42624305]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41005106 0.3145749 0.09794938 0.17742467]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59824342 0. 0.14290311 0.25885347]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19806491 0.80193509]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35569575 0.64430425]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.52593562 0. 0. 0.47406438 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10297049 0.76523509 0.13179442 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.78185993 0.21814007]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43861106 0. 0.56138894 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21795115 0.43749418 0. 0.34455467]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33252377 0.66747623 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12864315 0.12729275 0.10103008 0.11595552 0.5270785 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09446376 0.06889085 0.13862303 0.69802236]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79826478 0.09806051 0.10367471]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31281707 0.22813228 0.45905065 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14608567 0.1159457 0.13307466 0.60489396]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27541798 0.49968026 0.22490176]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1770236 0.16300275 0.65997366]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41005106 0.3145749 0.09794938 0.17742467]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35530443 0.11530387 0.44373265 0.08565905]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.49849666 0.38242686 0.11907648 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5206173 0.4793827 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33198188 0.66801812 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35533299 0.64466701 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.13578142 0.15584076 0.70837781]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40161183 0. 0.50156504 0.09682313]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.46560732 0.53439268 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08582339 0.63780481 0.10984744 0.16652435]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22588041 0.60525309 0.1688665 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23695343 0. 0.30328244 0.45976413]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09257978 0.55390598 0.22960071 0.12391353]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22010804 0.3565539 0.42333806]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20753423 0. 0.51469131 0.27777446]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.83819344 0.16180656]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34207689 0. 0.65792311]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28735376 0. 0.71264624 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.57221578 0. 0.42778422]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.39746256 0.60253744]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.48608524 0.51391476]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16270074 0.32658983 0.25349904 0.2572104 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21904015 0.43968012 0.34127973 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33252377 0.66747623 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.76256094 0.23743906 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12864315 0.12729275 0.10103008 0.11595552 0.5270785 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35530443 0.11530387 0.44373265 0.08565905]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22010804 0.3565539 0.42333806]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09257978 0.55390598 0.22960071 0.12391353]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34207689 0. 0.65792311]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63872961 0.2072814 0. 0.15398899]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.20753423 0. 0.51469131 0.27777446]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27201798 0.26916254 0.21362971 0.24518977 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27541798 0.49968026 0.22490176]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09446376 0.06889085 0.13862303 0.69802236]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79826478 0.09806051 0.10367471]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31281707 0.22813228 0.45905065 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55048393 0. 0.44951607]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37220038 0. 0.2923081 0.33549152 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57827424 0.42172576 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.46560732 0.53439268 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08582339 0.63780481 0.10984744 0.16652435]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22588041 0.60525309 0.1688665 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.23695343 0. 0.30328244 0.45976413]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16270074 0.32658983 0.25349904 0.2572104 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.48608524 0.51391476]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43861106 0. 0.56138894 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21795115 0.43749418 0. 0.34455467]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41005106 0.3145749 0.09794938 0.17742467]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1770236 0.16300275 0.65997366]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.53322394 0.16603026 0.3007458 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35569575 0.64430425]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75498972 0.24501028 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.55942052 0. 0.44057948]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.64948081 0.35051919]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.57221578 0. 0.42778422]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5206173 0.4793827 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
Iteration 33, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15702531 0.13347456 0.09047058 0.12974568 0.48928387]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10229434 0.06489989 0.13981106 0.6929947 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80358877 0.09413143 0.10227979]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33320058 0.21139665 0.45540277 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.15833757 0.107323 0.15391409 0.58042534]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34978318 0.1193173 0.44937125 0.08152826]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40160509 0.2985843 0.10798834 0.19182227]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16326772 0.3271373 0.26439869 0.24519629]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4792569 0.5207431]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22195137 0.44472093 0. 0.3333277 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2118829 0.60937113 0.17874598]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09942008 0.53862855 0.24177736 0.12017401]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.37737639 0.25579 0.36683361 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.59809078 0.26846852 0.1334407 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.77319871 0.22680129]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09767688 0.61653305 0.11778194 0.16800813]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11071739 0.69884428 0. 0.19043833]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.5070832 0. 0.4929168 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25768034 0.51308883 0.22923083]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.31703185 0.68296815 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17667268 0.16206545 0.66126187]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45022404 0.33473138 0. 0.21504458]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39717277 0. 0.5102533 0.09257393]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.78585174 0. 0.21414826]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39971139 0. 0. 0.60028861]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57356638 0.42643362 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52156125 0.47843875 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52921427 0. 0.47078573]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21005709 0.35127132 0.4386716 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.81758721 0. 0.18241279]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32379806 0. 0.67620194]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.84643372 0.15356628]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15702531 0.13347456 0.09047058 0.12974568 0.48928387]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10229434 0.06489989 0.13981106 0.6929947 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80358877 0.09413143 0.10227979]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09767688 0.61653305 0.11778194 0.16800813]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.15833757 0.107323 0.15391409 0.58042534]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25768034 0.51308883 0.22923083]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33320058 0.21139665 0.45540277 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.12751312 0.18286914 0.68961774]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34978318 0.1193173 0.44937125 0.08152826]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21005709 0.35127132 0.4386716 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63524323 0.21669283 0. 0.14806394]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.41082606 0.58917394 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09942008 0.53862855 0.24177736 0.12017401]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37421425 0.62578575 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40160509 0.2985843 0.10798834 0.19182227]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21548814 0. 0.52404058 0.26047128]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2118829 0.60937113 0.17874598]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.68327303 0.13053189 0.18619509]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54241484 0. 0.45758516]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45274477 0. 0. 0.54725523]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.59407487 0. 0.40592513]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.41212747 0.58787253]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16326772 0.3271373 0.26439869 0.24519629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57256359 0. 0.15395768 0.27347873]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17667268 0.16206545 0.66126187]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36018851 0.63981149]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39097009 0.31598959 0.29304031]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88709202 0. 0.11290798]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.31703185 0.68296815 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52921427 0. 0.47078573]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.55303025 0.44696975 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52156125 0.47843875 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15702531 0.13347456 0.09047058 0.12974568 0.48928387]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10229434 0.06489989 0.13981106 0.6929947 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25768034 0.51308883 0.22923083]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17667268 0.16206545 0.66126187]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11892079 0.07544842 0. 0.8056308 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80358877 0.09413143 0.10227979]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61182937 0.38817063 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.15833757 0.107323 0.15391409 0.58042534]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34978318 0.1193173 0.44937125 0.08152826]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21005709 0.35127132 0.4386716 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09942008 0.53862855 0.24177736 0.12017401]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2118829 0.60937113 0.17874598]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09767688 0.61653305 0.11778194 0.16800813]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54241484 0. 0.45758516]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13112254 0.7103831 0. 0.15849436]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32379806 0. 0.67620194]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63524323 0.21669283 0. 0.14806394]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.37737639 0.25579 0.36683361 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45274477 0. 0. 0.54725523]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.59407487 0. 0.40592513]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.5070832 0. 0.4929168 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33431583 0.66568417 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19684206 0.80315794]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40160509 0.2985843 0.10798834 0.19182227]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4969267 0.36945376 0.13361954 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25472047 0. 0.30715017 0.43812936]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4792569 0.5207431]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16326772 0.3271373 0.26439869 0.24519629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.7343935 0.2656065 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39097009 0.31598959 0.29304031]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.51884085 0.48115915]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36764167 0. 0. 0.63235833]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15702531 0.13347456 0.09047058 0.12974568 0.48928387]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10229434 0.06489989 0.13981106 0.6929947 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80358877 0.09413143 0.10227979]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33320058 0.21139665 0.45540277 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.15833757 0.107323 0.15391409 0.58042534]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09767688 0.61653305 0.11778194 0.16800813]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2118829 0.60937113 0.17874598]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25472047 0. 0.30715017 0.43812936]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16326772 0.3271373 0.26439869 0.24519629]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45334362 0. 0.54665638 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4792569 0.5207431]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21630487 0.43340711 0.35028802 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54241484 0. 0.45758516]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09942008 0.53862855 0.24177736 0.12017401]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21005709 0.35127132 0.4386716 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34978318 0.1193173 0.44937125 0.08152826]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.18714124 0.12684646 0. 0.6860123 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18350387 0.69110986 0.12538627]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40160509 0.2985843 0.10798834 0.19182227]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.84643372 0.15356628]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37421425 0.62578575 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21548814 0. 0.52404058 0.26047128]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38176418 0. 0.61823582 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.59601456 0.40398544 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25768034 0.51308883 0.22923083]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.31703185 0.68296815 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52921427 0. 0.47078573]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.45274477 0. 0. 0.54725523]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17667268 0.16206545 0.66126187]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4969267 0.36945376 0.13361954 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.78808923 0. 0.21191077 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52156125 0.47843875 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15702531 0.13347456 0.09047058 0.12974568 0.48928387]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34978318 0.1193173 0.44937125 0.08152826]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21005709 0.35127132 0.4386716 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63524323 0.21669283 0. 0.14806394]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30746103 0.26134785 0.17714455 0.25404657 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09942008 0.53862855 0.24177736 0.12017401]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2118829 0.60937113 0.17874598]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13112254 0.7103831 0. 0.15849436]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37365133 0.31761089 0. 0.30873778 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10229434 0.06489989 0.13981106 0.6929947 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25768034 0.51308883 0.22923083]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17667268 0.16206545 0.66126187]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40160509 0.2985843 0.10798834 0.19182227]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52156125 0.47843875 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33431583 0.66568417 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11892079 0.07544842 0. 0.8056308 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80358877 0.09413143 0.10227979]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61182937 0.38817063 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.5070832 0. 0.4929168 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09767688 0.61653305 0.11778194 0.16800813]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.77319871 0.22680129]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16326772 0.3271373 0.26439869 0.24519629]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4792569 0.5207431]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25472047 0. 0.30715017 0.43812936]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22195137 0.44472093 0. 0.3333277 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49897533 0.18046333 0.32056134]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37421425 0.62578575 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36018851 0.63981149]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.59407487 0. 0.40592513]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.81758721 0. 0.18241279]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.57158501 0. 0.42841499]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45334362 0. 0.54665638 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
Iteration 34, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14761768 0.1258476 0.10864123 0.14923441 0.46865908]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32627688 0.10434917 0.49149736 0.07787659]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17844117 0.39728525 0.42427358]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08461924 0.54636643 0.23018661 0.13882772]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29606239 0. 0.70393761]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64164246 0.2052087 0. 0.15314884]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18653655 0. 0.50742851 0.30603494]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75768032 0.24231968 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27782103 0.23684907 0.20446614 0.28086376 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10389876 0.06647073 0.13855176 0.69107875]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26193007 0.50966071 0.22840922]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12060941 0.07716161 0. 0.80222899]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32796451 0.28312392 0.38891158 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26879818 0. 0.73120182 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.45749121 0. 0.54250879 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53418128 0. 0.46581872]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09911506 0.62672459 0.09877625 0.1753841 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22187149 0.58995934 0.18816917]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26552796 0. 0.2646203 0.46985174]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8012525 0.09657054 0.10217696]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.08774441 0. 0.91225559]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16976729 0.15437333 0.67585938]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4189496 0.2907595 0.10069491 0.18959599]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52374581 0.47625419 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0. 1.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.48589561 0.51410439]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15952694 0.40090471 0.22209488 0.21747347]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36107599 0. 0. 0.63892401]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20507249 0.51536453 0. 0.27956298]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54109632 0. 0.45890368]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42314792 0. 0. 0.57685208]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50040324 0.17329806 0.3262987 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34687586 0.65312414]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14761768 0.1258476 0.10864123 0.14923441 0.46865908]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32627688 0.10434917 0.49149736 0.07787659]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17844117 0.39728525 0.42427358]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08461924 0.54636643 0.23018661 0.13882772]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29606239 0. 0.70393761]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64164246 0.2052087 0. 0.15314884]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18653655 0. 0.50742851 0.30603494]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22187149 0.58995934 0.18816917]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.37869944 0. 0. 0.62130056]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75768032 0.24231968 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27782103 0.23684907 0.20446614 0.28086376 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10389876 0.06647073 0.13855176 0.69107875]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8012525 0.09657054 0.10217696]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33632767 0.21517047 0.44850186 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26193007 0.50966071 0.22840922]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32796451 0.28312392 0.38891158 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69053174 0.30946826]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60984371 0.39015629 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.4212931 0.5787069 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09911506 0.62672459 0.09877625 0.1753841 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15952694 0.40090471 0.22209488 0.21747347]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.48589561 0.51410439]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12019542 0.76002001 0.11978456 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.75817726 0.24182274]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.50085604 0. 0.49914396 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4189496 0.2907595 0.10069491 0.18959599]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59070175 0. 0.14197569 0.26732257]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16976729 0.15437333 0.67585938]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.18593983 0.81406017]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34687586 0.65312414]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20507249 0.51536453 0. 0.27956298]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28465013 0.71534987 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14761768 0.1258476 0.10864123 0.14923441 0.46865908]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32627688 0.10434917 0.49149736 0.07787659]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4189496 0.2907595 0.10069491 0.18959599]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16976729 0.15437333 0.67585938]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26193007 0.50966071 0.22840922]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27782103 0.23684907 0.20446614 0.28086376 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10389876 0.06647073 0.13855176 0.69107875]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8012525 0.09657054 0.10217696]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33632767 0.21517047 0.44850186 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20075915 0. 0.79924085]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50040324 0.17329806 0.3262987 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15952694 0.40090471 0.22209488 0.21747347]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22187149 0.58995934 0.18816917]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26627975 0. 0.37071711 0.36300314]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.60530067 0. 0.39469933]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17844117 0.39728525 0.42427358]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36429027 0. 0.54876001 0.08694972]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.48357493 0.51642507]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08461924 0.54636643 0.23018661 0.13882772]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80730937 0. 0. 0.19269063]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32796451 0.28312392 0.38891158 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09826052 0.63444499 0.26729449 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.26879818 0. 0.73120182 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.45749121 0. 0.54250879 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09911506 0.62672459 0.09877625 0.1753841 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.50525675 0.49474325]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12019542 0.76002001 0.11978456 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27329769 0.72670231 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.50085604 0. 0.49914396 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69053174 0.30946826]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42853595 0. 0.57146405 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.48589561 0.51410439]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14761768 0.1258476 0.10864123 0.14923441 0.46865908]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09911506 0.62672459 0.09877625 0.1753841 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22187149 0.58995934 0.18816917]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26552796 0. 0.2646203 0.46985174]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15952694 0.40090471 0.22209488 0.21747347]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8012525 0.09657054 0.10217696]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10389876 0.06647073 0.13855176 0.69107875]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.48589561 0.51410439]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20507249 0.51536453 0. 0.27956298]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.50085604 0. 0.49914396 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17351158 0.14792277 0.12769819 0. 0.55086746]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32627688 0.10434917 0.49149736 0.07787659]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17844117 0.39728525 0.42427358]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08461924 0.54636643 0.23018661 0.13882772]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54109632 0. 0.45890368]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10992175 0.7097388 0. 0.18033945]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29606239 0. 0.70393761]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64164246 0.2052087 0. 0.15314884]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38632601 0.32935215 0.28432184 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26193007 0.50966071 0.22840922]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33632767 0.21517047 0.44850186 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53418128 0. 0.46581872]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57604898 0. 0.42395102 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60984371 0.39015629 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16976729 0.15437333 0.67585938]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4189496 0.2907595 0.10069491 0.18959599]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28465013 0.71534987 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46585925 0.32331575 0. 0.21082499]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68844406 0. 0. 0.31155594]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52374581 0.47625419 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.37869944 0. 0. 0.62130056]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.57263677 0. 0.42736323]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14761768 0.1258476 0.10864123 0.14923441 0.46865908]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09911506 0.62672459 0.09877625 0.1753841 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15952694 0.40090471 0.22209488 0.21747347]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22187149 0.58995934 0.18816917]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08461924 0.54636643 0.23018661 0.13882772]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17844117 0.39728525 0.42427358]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18653655 0. 0.50742851 0.30603494]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.75817726 0.24182274]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12019542 0.76002001 0.11978456 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26627975 0. 0.37071711 0.36300314]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.50085604 0. 0.49914396 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.8012525 0.09657054 0.10217696]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10389876 0.06647073 0.13855176 0.69107875]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.48589561 0.51410439]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41802364 0. 0.58197636 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4189496 0.2907595 0.10069491 0.18959599]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17351158 0.14792277 0.12769819 0. 0.55086746]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33632767 0.21517047 0.44850186 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.17897742 0.15450693 0. 0.66651565]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26193007 0.50966071 0.22840922]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.3242119 0.6757881 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53418128 0. 0.46581872]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16976729 0.15437333 0.67585938]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46585925 0.32331575 0. 0.21082499]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52374581 0.47625419 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.18818841 0. 0.81181159]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.37869944 0. 0. 0.62130056]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32627688 0.10434917 0.49149736 0.07787659]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29606239 0. 0.70393761]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64164246 0.2052087 0. 0.15314884]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.57263677 0. 0.42736323]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.60530067 0. 0.39469933]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 35, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12566742 0.11105249 0.09747703 0.12807983 0.53772323]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28860626 0.12382175 0.51528645 0.07228553]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43111331 0.28051409 0.10779463 0.18057797]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.14957219 0.14664857 0.70377924]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24783255 0.5212873 0.23088015]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09708374 0.07114007 0.13426221 0.69751398]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51770623 0. 0.48229377]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27184455 0.24022944 0.21086292 0.27706309 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09135877 0.66849098 0.09811753 0.14203273]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2014662 0.60214166 0.19639214]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10498253 0.53594464 0.2240962 0.13497663]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16504334 0.37882828 0.45612839]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32939218 0. 0.58810688 0.08250094]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37602804 0.33229654 0.29167541 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11213989 0.08217277 0. 0.80568734]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79465292 0.10544773 0.09989936]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27558456 0. 0.29597242 0.42844302]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88832474 0. 0.11167526]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978131 0.34448551 0.24223349 0.24349968]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57711056 0.42288944 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.53255045 0.46744955 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22622846 0. 0.48290833 0.29086321]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.75405908 0.24594092]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39144 0. 0. 0.60856]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22405491 0.45460641 0. 0.32133867]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17527619 0. 0.82472381]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49309308 0.18948348 0.31742344]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33014245 0.66985755 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.60836895 0. 0.39163105]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.87697587 0.12302413]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30346011 0.69653989 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43750165 0. 0. 0.56249835]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12566742 0.11105249 0.09747703 0.12807983 0.53772323]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09135877 0.66849098 0.09811753 0.14203273]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2014662 0.60214166 0.19639214]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27558456 0. 0.29597242 0.42844302]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14412721 0.12736543 0.11179582 0. 0.61671153]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09708374 0.07114007 0.13426221 0.69751398]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79465292 0.10544773 0.09989936]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32095281 0.23518467 0.44386252 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14881351 0.13062201 0. 0.72056448]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28860626 0.12382175 0.51528645 0.07228553]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16504334 0.37882828 0.45612839]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43111331 0.28051409 0.10779463 0.18057797]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.14957219 0.14664857 0.70377924]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49309308 0.18948348 0.31742344]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.45371011 0.54628989]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.59541613 0.25545345 0. 0.14913042]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.53255045 0.46744955 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24783255 0.5212873 0.23088015]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.3463451 0.6536549 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50493487 0.49506513 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51770623 0. 0.48229377]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10498253 0.53594464 0.2240962 0.13497663]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22622846 0. 0.48290833 0.29086321]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50637672 0. 0.49362328]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43750165 0. 0. 0.56249835]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.63139802 0. 0.36860198]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37380331 0.62619669]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978131 0.34448551 0.24223349 0.24349968]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.41493346 0.2917707 0.29329584]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.40856724 0.59143276]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.58713884 0.41286116 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51350974 0.48649026]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12566742 0.11105249 0.09747703 0.12807983 0.53772323]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09135877 0.66849098 0.09811753 0.14203273]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79465292 0.10544773 0.09989936]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10129786 0.7412174 0. 0.15748474]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2014662 0.60214166 0.19639214]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978131 0.34448551 0.24223349 0.24349968]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25070213 0.74929787 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.39144 0. 0. 0.60856]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25900466 0. 0.36953187 0.37146347]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43111331 0.28051409 0.10779463 0.18057797]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.14957219 0.14664857 0.70377924]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49309308 0.18948348 0.31742344]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16504334 0.37882828 0.45612839]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10498253 0.53594464 0.2240962 0.13497663]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2656968 0. 0.7343032]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28860626 0.12382175 0.51528645 0.07228553]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14412721 0.12736543 0.11179582 0. 0.61671153]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22622846 0. 0.48290833 0.29086321]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43750165 0. 0. 0.56249835]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16226811 0.14339657 0. 0. 0.69433532]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.17405516 0.7243337 0.10161115]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19374145 0.80625855 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37380331 0.62619669]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.49869662 0.50130338]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88832474 0. 0.11167526]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09708374 0.07114007 0.13426221 0.69751398]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24783255 0.5212873 0.23088015]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11213989 0.08217277 0. 0.80568734]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.53086968 0.46913032 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51770623 0. 0.48229377]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57711056 0.42288944 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50493487 0.49506513 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12566742 0.11105249 0.09747703 0.12807983 0.53772323]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28860626 0.12382175 0.51528645 0.07228553]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27184455 0.24022944 0.21086292 0.27706309 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09708374 0.07114007 0.13426221 0.69751398]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79465292 0.10544773 0.09989936]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32095281 0.23518467 0.44386252 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24783255 0.5212873 0.23088015]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.14957219 0.14664857 0.70377924]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43111331 0.28051409 0.10779463 0.18057797]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50493487 0.49506513 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32222878 0.67777122 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57711056 0.42288944 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32991505 0.28958504 0.38049992 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10498253 0.53594464 0.2240962 0.13497663]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16504334 0.37882828 0.45612839]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.17405516 0.7243337 0.10161115]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30346011 0.69653989 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49309308 0.18948348 0.31742344]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978131 0.34448551 0.24223349 0.24349968]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2014662 0.60214166 0.19639214]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22622846 0. 0.48290833 0.29086321]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.46439766 0. 0.53560234 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09135877 0.66849098 0.09811753 0.14203273]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.75405908 0.24594092]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27558456 0. 0.29597242 0.42844302]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25900466 0. 0.36953187 0.37146347]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51350974 0.48649026]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41081325 0. 0. 0.58918675]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.48216463 0. 0.51783537 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.63139802 0. 0.36860198]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.62409678 0.37590322]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.60836895 0. 0.39163105]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12566742 0.11105249 0.09747703 0.12807983 0.53772323]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.28860626 0.12382175 0.51528645 0.07228553]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.27184455 0.24022944 0.21086292 0.27706309 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09708374 0.07114007 0.13426221 0.69751398]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24783255 0.5212873 0.23088015]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.14957219 0.14664857 0.70377924]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43111331 0.28051409 0.10779463 0.18057797]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.17405516 0.7243337 0.10161115]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.52611876 0.34233164 0.13154959 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16978131 0.34448551 0.24223349 0.24349968]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09135877 0.66849098 0.09811753 0.14203273]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2014662 0.60214166 0.19639214]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22442993 0.45536731 0.32020276 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25070213 0.74929787 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.27558456 0. 0.29597242 0.42844302]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41207575 0. 0.58792425 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79465292 0.10544773 0.09989936]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11213989 0.08217277 0. 0.80568734]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50493487 0.49506513 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12217973 0. 0. 0.87782027]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51350974 0.48649026]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.48216463 0. 0.51783537 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32991505 0.28958504 0.38049992 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32222878 0.67777122 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.43216168 0.56783832 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60581325 0.39418675 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16504334 0.37882828 0.45612839]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10498253 0.53594464 0.2240962 0.13497663]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2656968 0. 0.7343032]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22622846 0. 0.48290833 0.29086321]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43750165 0. 0. 0.56249835]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.87697587 0.12302413]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
Iteration 36, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13959455 0.11603826 0.1019974 0.11593903 0.52643076]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09891299 0.0719627 0.15207711 0.6770472 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78050279 0.10755159 0.11194562]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30627692 0.22282731 0.47089577 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.13486462 0.11854574 0.1347493 0.61184033]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33962246 0.12854793 0.46207958 0.06975004]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17430319 0.37985766 0.44583915]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6313619 0.23897201 0. 0.12966609]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34744626 0.30540458 0.34714916 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28117986 0.48124403 0.23757612]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.32120498 0.67879502 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16461192 0.15457178 0.68081629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44638311 0.27561653 0.10152033 0.17648003]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51572784 0.48427216 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54202721 0. 0.45797279]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.46801445 0.53198555 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10520438 0.51822689 0.25352481 0.12304392]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21706913 0.60479501 0.17813585]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09215403 0.63077373 0.10501522 0.17205702]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.69480258 0.11567515 0.18952226]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14993465 0.34274123 0.24294908 0.26437504]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54925707 0. 0.45074293]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22812119 0. 0.36963993 0.40223889]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49784704 0.1833765 0.31877646]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31453537 0.68546463 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14093486 0.69423191 0. 0.16483323]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36518056 0.63481944]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64825641 0. 0.35174359]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46092075 0. 0. 0.53907925]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.85727535 0.14272465 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.47888337 0.52111663]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4899907 0.5100093]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13959455 0.11603826 0.1019974 0.11593903 0.52643076]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09891299 0.0719627 0.15207711 0.6770472 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78050279 0.10755159 0.11194562]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30627692 0.22282731 0.47089577 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16461192 0.15457178 0.68081629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44638311 0.27561653 0.10152033 0.17648003]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51572784 0.48427216 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28117986 0.48124403 0.23757612]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3940912 0. 0.6059088 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36879728 0.63120272 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.13486462 0.11854574 0.1347493 0.61184033]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33962246 0.12854793 0.46207958 0.06975004]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17430319 0.37985766 0.44583915]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10520438 0.51822689 0.25352481 0.12304392]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34744626 0.30540458 0.34714916 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.57915671 0.28333265 0.13751064]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28106965 0. 0.71893035]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6313619 0.23897201 0. 0.12966609]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.50021387 0. 0.49978613 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09215403 0.63077373 0.10501522 0.17205702]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21706913 0.60479501 0.17813585]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14993465 0.34274123 0.24294908 0.26437504]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24958686 0. 0.28441969 0.46599345]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.67324977 0.32675023]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26411802 0.73588198 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.37901747 0.62098253]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20381942 0.46591843 0.33026215 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49784704 0.1833765 0.31877646]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36518056 0.63481944]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64825641 0. 0.35174359]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.58519191 0.41480809 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4899907 0.5100093]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13959455 0.11603826 0.1019974 0.11593903 0.52643076]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33962246 0.12854793 0.46207958 0.06975004]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17430319 0.37985766 0.44583915]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10520438 0.51822689 0.25352481 0.12304392]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21706913 0.60479501 0.17813585]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09215403 0.63077373 0.10501522 0.17205702]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14993465 0.34274123 0.24294908 0.26437504]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78050279 0.10755159 0.11194562]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1113048 0.76185649 0.12683871 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54925707 0. 0.45074293]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14093486 0.69423191 0. 0.16483323]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6313619 0.23897201 0. 0.12966609]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44638311 0.27561653 0.10152033 0.17648003]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16461192 0.15457178 0.68081629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49784704 0.1833765 0.31877646]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28106965 0. 0.71893035]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36518056 0.63481944]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82961719 0. 0. 0.17038281]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29477115 0.24502913 0.21538012 0.2448196 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09891299 0.0719627 0.15207711 0.6770472 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28117986 0.48124403 0.23757612]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11665328 0.0848694 0. 0.79847732]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87456349 0. 0.12543651]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57885933 0.42114067 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34744626 0.30540458 0.34714916 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16875056 0.83124944 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.50021387 0. 0.49978613 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46738539 0. 0.53261461 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19805095 0.45273207 0. 0.34921698]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54202721 0. 0.45797279]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51572784 0.48427216 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.30432716 0.69567284 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13959455 0.11603826 0.1019974 0.11593903 0.52643076]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33962246 0.12854793 0.46207958 0.06975004]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29477115 0.24502913 0.21538012 0.2448196 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09891299 0.0719627 0.15207711 0.6770472 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78050279 0.10755159 0.11194562]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30627692 0.22282731 0.47089577 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28117986 0.48124403 0.23757612]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16461192 0.15457178 0.68081629]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57885933 0.42114067 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.18502991 0.81497009]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44638311 0.27561653 0.10152033 0.17648003]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36879728 0.63120272 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34744626 0.30540458 0.34714916 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09215403 0.63077373 0.10501522 0.17205702]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14993465 0.34274123 0.24294908 0.26437504]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1113048 0.76185649 0.12683871 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21706913 0.60479501 0.17813585]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10520438 0.51822689 0.25352481 0.12304392]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.53219854 0.46780146 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.57915671 0.28333265 0.13751064]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.77247563 0.22752437]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20381942 0.46591843 0.33026215 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49784704 0.1833765 0.31877646]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19465823 0.69972031 0.10562145]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17430319 0.37985766 0.44583915]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.80812487 0. 0.19187513]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28106965 0. 0.71893035]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64825641 0. 0.35174359]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73081303 0.26918697 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.58519191 0.41480809 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46738539 0. 0.53261461 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4899907 0.5100093]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13959455 0.11603826 0.1019974 0.11593903 0.52643076]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33962246 0.12854793 0.46207958 0.06975004]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17430319 0.37985766 0.44583915]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.6313619 0.23897201 0. 0.12966609]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29477115 0.24502913 0.21538012 0.2448196 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09891299 0.0719627 0.15207711 0.6770472 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34744626 0.30540458 0.34714916 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10520438 0.51822689 0.25352481 0.12304392]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31453537 0.68546463 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21836913 0. 0.5262328 0.25539806]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21706913 0.60479501 0.17813585]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09215403 0.63077373 0.10501522 0.17205702]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54925707 0. 0.45074293]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46092075 0. 0. 0.53907925]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.50021387 0. 0.49978613 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24958686 0. 0.28441969 0.46599345]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.14993465 0.34274123 0.24294908 0.26437504]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22812119 0. 0.36963993 0.40223889]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44638311 0.27561653 0.10152033 0.17648003]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16461192 0.15457178 0.68081629]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28117986 0.48124403 0.23757612]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19470834 0. 0.80529166]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.0798621 0.16877073 0.75136717]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78050279 0.10755159 0.11194562]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.32120498 0.67879502 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36879728 0.63120272 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49784704 0.1833765 0.31877646]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36518056 0.63481944]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.47888337 0.52111663]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4899907 0.5100093]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46738539 0. 0.53261461 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64825641 0. 0.35174359]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
Iteration 37, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13323789 0.10641453 0.11697691 0.10910567 0.53426501]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1061768 0.51356861 0.2539973 0.12625729]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22008934 0.34663687 0.4332738 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3374786 0.1078618 0.48735555 0.06730405]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42221595 0.30379428 0.10878605 0.16520372]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17056597 0.17039585 0.65903819]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.52579209 0.1882815 0.28592641]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38835215 0.61164785 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21827702 0. 0.52216471 0.25955827]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20954373 0.62046361 0.16999265]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09513562 0.62903702 0.11048861 0.16533875]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15088834 0.1205116 0. 0.12355924 0.60504082]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37828063 0. 0.5462781 0.07544128]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3970442 0.6029558]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16704626 0.33187586 0.23604159 0.26503629]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.6951727 0.12210516 0.18272214]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22728504 0.45155408 0.32116088 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78441791 0.10328898 0.11229311]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.85059529 0.14940471 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55210446 0. 0.44789554]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4568039 0. 0. 0.5431961]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.83372793 0. 0. 0.16627207]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38203527 0.30512419 0. 0.31284054 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09976965 0.07232179 0.16214467 0.66576389]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.49375664 0. 0.50624336 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87477224 0. 0.12522776]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.08033698 0.18011465 0.73954838]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3348143 0.6651857 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32238122 0.46027561 0.21734317]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.30845259 0.69154741 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.67925451 0.32074549]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50024947 0.49975053 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13323789 0.10641453 0.11697691 0.10910567 0.53426501]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3374786 0.1078618 0.48735555 0.06730405]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22008934 0.34663687 0.4332738 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1061768 0.51356861 0.2539973 0.12625729]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20954373 0.62046361 0.16999265]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09513562 0.62903702 0.11048861 0.16533875]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55210446 0. 0.44789554]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14232763 0.68842729 0. 0.16924508]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33685607 0. 0.66314393]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65830928 0.21040275 0. 0.13128797]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42221595 0.30379428 0.10878605 0.16520372]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17056597 0.17039585 0.65903819]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.52579209 0.1882815 0.28592641]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3970442 0.6029558]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.83372793 0. 0. 0.16627207]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2860809 0.22848729 0.25116625 0.23426556 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25645583 0. 0.29784268 0.44570149]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37360329 0.29838973 0.32800698 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09976965 0.07232179 0.16214467 0.66576389]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78441791 0.10328898 0.11229311]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29850051 0.21637933 0.48512015 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32238122 0.46027561 0.21734317]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50024947 0.49975053 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.41190623 0.58809377 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57974791 0.42025209 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.47635903 0.52364097 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.4568039 0. 0. 0.5431961]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.4005716 0.5994284]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16704626 0.33187586 0.23604159 0.26503629]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25002278 0. 0.35329002 0.3966872 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4791167 0.5208833]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38660727 0. 0. 0.61339273]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13323789 0.10641453 0.11697691 0.10910567 0.53426501]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32238122 0.46027561 0.21734317]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1491048 0. 0.13090735 0.12209875 0.5978891 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1061768 0.51356861 0.2539973 0.12625729]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3374786 0.1078618 0.48735555 0.06730405]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22008934 0.34663687 0.4332738 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12151952 0.58778014 0.29070034 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33685607 0. 0.66314393]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42221595 0.30379428 0.10878605 0.16520372]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65830928 0.21040275 0. 0.13128797]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17156376 0. 0. 0.14048991 0.68794633]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61576959 0. 0.38423041]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60645287 0. 0.15625561 0.23729153]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17056597 0.17039585 0.65903819]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3970442 0.6029558]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16704626 0.33187586 0.23604159 0.26503629]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09513562 0.62903702 0.11048861 0.16533875]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20954373 0.62046361 0.16999265]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25645583 0. 0.29784268 0.44570149]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22728504 0.45155408 0.32116088 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55210446 0. 0.44789554]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41441651 0. 0.58558349 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78441791 0.10328898 0.11229311]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09976965 0.07232179 0.16214467 0.66576389]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4791167 0.5208833]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46266737 0. 0.53733263 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.54978928 0. 0. 0.45021072 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29850051 0.21637933 0.48512015 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.67925451 0.32074549]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57974791 0.42025209 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29479298 0. 0.70520702 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50024947 0.49975053 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13323789 0.10641453 0.11697691 0.10910567 0.53426501]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3374786 0.1078618 0.48735555 0.06730405]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22008934 0.34663687 0.4332738 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65830928 0.21040275 0. 0.13128797]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2860809 0.22848729 0.25116625 0.23426556 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09976965 0.07232179 0.16214467 0.66576389]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78441791 0.10328898 0.11229311]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29850051 0.21637933 0.48512015 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32004648 0.35181332 0.3281402 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1061768 0.51356861 0.2539973 0.12625729]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.49375664 0. 0.50624336 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32238122 0.46027561 0.21734317]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17056597 0.17039585 0.65903819]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42221595 0.30379428 0.10878605 0.16520372]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38835215 0.61164785 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.57457516 0.28416951 0.14125533]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61576959 0. 0.38423041]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.66908731 0.33091269 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60645287 0. 0.15625561 0.23729153]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79513062 0. 0.20486938 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50024947 0.49975053 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.30845259 0.69154741 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.41190623 0.58809377 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09513562 0.62903702 0.11048861 0.16533875]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20954373 0.62046361 0.16999265]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.78494363 0.21505637]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25645583 0. 0.29784268 0.44570149]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16704626 0.33187586 0.23604159 0.26503629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39843252 0.28337899 0.31818849]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46266737 0. 0.53733263 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4791167 0.5208833]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.58437341 0.41562659 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13323789 0.10641453 0.11697691 0.10910567 0.53426501]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3374786 0.1078618 0.48735555 0.06730405]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1061768 0.51356861 0.2539973 0.12625729]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20954373 0.62046361 0.16999265]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09513562 0.62903702 0.11048861 0.16533875]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55210446 0. 0.44789554]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14232763 0.68842729 0. 0.16924508]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36183131 0.11564519 0.5225235 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22008934 0.34663687 0.4332738 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75779919 0.24220081 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2860809 0.22848729 0.25116625 0.23426556 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09976965 0.07232179 0.16214467 0.66576389]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78441791 0.10328898 0.11229311]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25645583 0. 0.29784268 0.44570149]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16704626 0.33187586 0.23604159 0.26503629]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42221595 0.30379428 0.10878605 0.16520372]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39843252 0.28337899 0.31818849]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.47106767 0.52893233]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46266737 0. 0.53733263 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32004648 0.35181332 0.3281402 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.17132325 0.82867675 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.49375664 0. 0.50624336 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32238122 0.46027561 0.21734317]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87477224 0. 0.12522776]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.29850051 0.21637933 0.48512015 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47375375 0.34087694 0. 0.18536931]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38835215 0.61164785 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.71876373 0. 0. 0.28123627]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17056597 0.17039585 0.65903819]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.30845259 0.69154741 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.67925451 0.32074549]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.20543628 0.79456372]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 38, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12971215 0.11893407 0.10172183 0.10764326 0.54198869]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10084254 0.59992549 0.12928115 0.16995082]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15463596 0.30814944 0.23992698 0.29728763]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78569084 0.09206398 0.12224518]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20344881 0.40542084 0. 0.39113035]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39949606 0.31030952 0.10939272 0.1808017 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17378609 0.17899059 0.64722333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51674852 0.18216819 0.30108329]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.50897022 0. 0.49102978]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12148984 0.72275897 0.1557512 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21594823 0.60998873 0.17406305]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26145849 0.73854151 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43821015 0. 0.56178985 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14535907 0.13328086 0.11399233 0. 0.60736773]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34006167 0.13256083 0.46594363 0.06143387]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37021683 0.33945468 0.29032849 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10097782 0.07974912 0.14359822 0.67567485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89511424 0.10488576 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31134748 0.24589248 0.44276004 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49262352 0.50737648 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.41286882 0. 0.58713118 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.53900246 0.46099754 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10345479 0.53300463 0.24669059 0.11684999]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20995778 0.30431832 0.48572389]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2215328 0. 0.5282506 0.2502166]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46959847 0. 0. 0.53040153]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.20086851 0.70604116 0.09309032]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30180151 0. 0.69819849]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.68332191 0. 0.31667809]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.63185182 0. 0.36814818]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27759137 0.49789603 0.2245126 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55285636 0. 0.44714364]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12971215 0.11893407 0.10172183 0.10764326 0.54198869]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34006167 0.13256083 0.46594363 0.06143387]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20995778 0.30431832 0.48572389]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63675238 0.24821506 0. 0.11503256]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2832073 0.25967497 0.22209457 0.23502315 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10097782 0.07974912 0.14359822 0.67567485]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27759137 0.49789603 0.2245126 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.36227346 0.30984492 0.32788163 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.68921662 0.31078338]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1179094 0.09312115 0. 0.78896945]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78569084 0.09206398 0.12224518]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55873143 0.44126857 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.48585859 0.51414141 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10345479 0.53300463 0.24669059 0.11684999]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40825887 0.59174113 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2215328 0. 0.5282506 0.2502166]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21594823 0.60998873 0.17406305]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10084254 0.59992549 0.12928115 0.16995082]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15463596 0.30814944 0.23992698 0.29728763]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5536974 0. 0.4463026]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46959847 0. 0. 0.53040153]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.68332191 0. 0.31667809]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39949606 0.31030952 0.10939272 0.1808017 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12148984 0.72275897 0.1557512 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22351063 0. 0.34679018 0.42969919]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.42958491 0.57041509]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43821015 0. 0.56178985 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3421728 0. 0. 0.6578272]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.48766711 0.37879659 0.13353631 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.7850361 0. 0.2149639 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17378609 0.17899059 0.64722333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.21663952 0.78336048]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12971215 0.11893407 0.10172183 0.10764326 0.54198869]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34006167 0.13256083 0.46594363 0.06143387]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39949606 0.31030952 0.10939272 0.1808017 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17378609 0.17899059 0.64722333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51674852 0.18216819 0.30108329]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15463596 0.30814944 0.23992698 0.29728763]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10084254 0.59992549 0.12928115 0.16995082]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22005583 0.43851432 0.34142985 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21594823 0.60998873 0.17406305]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12148984 0.72275897 0.1557512 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5536974 0. 0.4463026]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10345479 0.53300463 0.24669059 0.11684999]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39202941 0. 0.53714848 0.07082211]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20995778 0.30431832 0.48572389]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.63185182 0. 0.36814818]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.38519248 0.61480752]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11714294 0.60352672 0.27933033 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2832073 0.25967497 0.22209457 0.23502315 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27759137 0.49789603 0.2245126 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10097782 0.07974912 0.14359822 0.67567485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78569084 0.09206398 0.12224518]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31134748 0.24589248 0.44276004 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38254455 0. 0.29999603 0.31745942 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.35706321 0.64293679 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55285636 0. 0.44714364]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49262352 0.50737648 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.48585859 0.51414141 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.68360639 0.31639361 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39191709 0. 0.60808291 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.42958491 0.57041509]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.84698741 0. 0. 0.15301259]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43821015 0. 0.56178985 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12971215 0.11893407 0.10172183 0.10764326 0.54198869]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10084254 0.59992549 0.12928115 0.16995082]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21594823 0.60998873 0.17406305]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25205939 0. 0.32314269 0.42479792]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15463596 0.30814944 0.23992698 0.29728763]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78569084 0.09206398 0.12224518]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10097782 0.07974912 0.14359822 0.67567485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.42958491 0.57041509]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20344881 0.40542084 0. 0.39113035]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43821015 0. 0.56178985 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14535907 0.13328086 0.11399233 0. 0.60736773]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27759137 0.49789603 0.2245126 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16771185 0. 0.13152165 0. 0.70076649]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10345479 0.53300463 0.24669059 0.11684999]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5536974 0. 0.4463026]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13733373 0.70755074 0. 0.15511554]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34006167 0.13256083 0.46594363 0.06143387]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20995778 0.30431832 0.48572389]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16254735 0.83745265 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30180151 0. 0.69819849]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39949606 0.31030952 0.10939272 0.1808017 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17378609 0.17899059 0.64722333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51674852 0.18216819 0.30108329]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63675238 0.24821506 0. 0.11503256]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19311 0. 0. 0. 0.80689]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.68332191 0. 0.31667809]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37696355 0.62303645]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.33414182 0.66585818 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31134748 0.24589248 0.44276004 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.68921662 0.31078338]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49262352 0.50737648 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55873143 0.44126857 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.12971215 0.11893407 0.10172183 0.10764326 0.54198869]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10097782 0.07974912 0.14359822 0.67567485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78569084 0.09206398 0.12224518]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31134748 0.24589248 0.44276004 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27759137 0.49789603 0.2245126 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.55873143 0.44126857 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17378609 0.17899059 0.64722333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.55285636 0. 0.44714364]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21167368 0. 0.78832632]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39949606 0.31030952 0.10939272 0.1808017 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.13666062 0.11688297 0.12368697 0.62276945]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34006167 0.13256083 0.46594363 0.06143387]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20995778 0.30431832 0.48572389]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63675238 0.24821506 0. 0.11503256]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.36227346 0.30984492 0.32788163 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10345479 0.53300463 0.24669059 0.11684999]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21594823 0.60998873 0.17406305]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10084254 0.59992549 0.12928115 0.16995082]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5536974 0. 0.4463026]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13733373 0.70755074 0. 0.15511554]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40825887 0.59174113 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46959847 0. 0. 0.53040153]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52491602 0. 0.47508398 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25205939 0. 0.32314269 0.42479792]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15463596 0.30814944 0.23992698 0.29728763]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43821015 0. 0.56178985 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.42958491 0.57041509]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22005583 0.43851432 0.34142985 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39191709 0. 0.60808291 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51674852 0.18216819 0.30108329]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.68332191 0. 0.31667809]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73935636 0.26064364 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
Iteration 39, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14056847 0.11989008 0.09745999 0.09573614 0.54634532]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38549288 0.1131551 0.4288747 0.07247733]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30985786 0.26427609 0.21483299 0.21103307 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09660965 0.56316779 0.23460569 0.10561687]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.18992792 0.64591954 0.16415254]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15519212 0.36656424 0.21698216 0.26126147]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22722796 0.77277204 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08561288 0.6194664 0.10617117 0.18874955]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12622207 0.73578779 0. 0.13799014]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22190815 0.28845746 0.48963439]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18413961 0.69791656 0.11794383]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40231301 0.30071808 0.11452064 0.18244826]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17909864 0.17936013 0.64154123]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27352184 0.5135022 0.21297595]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21824267 0. 0.78175733]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50313641 0.19160638 0.30525721]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24500057 0. 0.34254801 0.41245142]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7943501 0.09633109 0.10931881]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22498114 0. 0.27900602 0.49601284]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87902781 0. 0.12097219]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08756307 0.08280148 0.15922586 0.67040959]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09546796 0. 0.17360022 0.73093182]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37265166 0. 0. 0.62734834]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.31204302 0. 0. 0.68795698]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.62239037 0. 0.37760963]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43480231 0.56519769 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.85543626 0.14456374]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47772987 0. 0. 0.52227013]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39463942 0.33658583 0. 0.26877475 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35480956 0. 0.64519044 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.55600883 0. 0.44399117 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34753937 0.65246063 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14056847 0.11989008 0.09745999 0.09573614 0.54634532]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08756307 0.08280148 0.15922586 0.67040959]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27352184 0.5135022 0.21297595]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10414578 0.09848243 0. 0.7973718 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7943501 0.09633109 0.10931881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.51397473 0.48602527 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17909864 0.17936013 0.64154123]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56222627 0. 0.43777373]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.13949928 0.11340053 0.11139472 0.63570546]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09660965 0.56316779 0.23460569 0.10561687]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22190815 0.28845746 0.48963439]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38549288 0.1131551 0.4288747 0.07247733]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43480231 0.56519769 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22115963 0. 0.53706134 0.24177903]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.18992792 0.64591954 0.16415254]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08561288 0.6194664 0.10617117 0.18874955]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53639762 0. 0.46360238]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47772987 0. 0. 0.52227013]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.15734194 0. 0.12564267 0.71701539]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67497075 0.19812658 0. 0.12690267]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40231301 0.30071808 0.11452064 0.18244826]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15519212 0.36656424 0.21698216 0.26126147]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22498114 0. 0.27900602 0.49601284]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2100772 0.49620296 0.29371984 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41698777 0. 0.58301223 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46842273 0.53157727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44640252 0. 0.55359748 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.45434488 0.33961049 0. 0.20604463]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21824267 0. 0.78175733]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.55600883 0. 0.44399117 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.62239037 0. 0.37760963]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.84174227 0. 0. 0.15825773]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14056847 0.11989008 0.09745999 0.09573614 0.54634532]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38549288 0.1131551 0.4288747 0.07247733]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30985786 0.26427609 0.21483299 0.21103307 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27352184 0.5135022 0.21297595]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42116051 0. 0.29200218 0.28683731 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09660965 0.56316779 0.23460569 0.10561687]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18413961 0.69791656 0.11794383]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22190815 0.28845746 0.48963439]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10801819 0.62967174 0.26231006 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31186912 0. 0.68813088]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60956538 0. 0.39043462]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40231301 0.30071808 0.11452064 0.18244826]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17909864 0.17936013 0.64154123]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08756307 0.08280148 0.15922586 0.67040959]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.70683777 0.29316223]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10414578 0.09848243 0. 0.7973718 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7943501 0.09633109 0.10931881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.51397473 0.48602527 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59486131 0. 0. 0.40513869 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.21849169 0.78150831]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50313641 0.19160638 0.30525721]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.38563176 0.61436824]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29168229 0. 0.70831771 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08561288 0.6194664 0.10617117 0.18874955]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.18992792 0.64591954 0.16415254]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22498114 0. 0.27900602 0.49601284]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46842273 0.53157727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.31204302 0. 0. 0.68795698]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15519212 0.36656424 0.21698216 0.26126147]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2100772 0.49620296 0.29371984 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.29744174 0.70255826 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53639762 0. 0.46360238]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14056847 0.11989008 0.09745999 0.09573614 0.54634532]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38549288 0.1131551 0.4288747 0.07247733]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30985786 0.26427609 0.21483299 0.21103307 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27352184 0.5135022 0.21297595]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08756307 0.08280148 0.15922586 0.67040959]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7943501 0.09633109 0.10931881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.26567239 0.25122538 0.48310223 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56222627 0. 0.43777373]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17909864 0.17936013 0.64154123]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40231301 0.30071808 0.11452064 0.18244826]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49963527 0.50036473 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42116051 0. 0.29200218 0.28683731 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.51397473 0.48602527 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50446141 0.49553859 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08561288 0.6194664 0.10617117 0.18874955]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.18992792 0.64591954 0.16415254]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15519212 0.36656424 0.21698216 0.26126147]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50313641 0.19160638 0.30525721]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22190815 0.28845746 0.48963439]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.38563176 0.61436824]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.43390249 0.25684202 0.30925549]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22722796 0.77277204 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22498114 0. 0.27900602 0.49601284]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46842273 0.53157727]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.45370632 0.54629368]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.31204302 0. 0. 0.68795698]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09660965 0.56316779 0.23460569 0.10561687]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.37072418 0.62927582]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18413961 0.69791656 0.11794383]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.85543626 0.14456374]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22115963 0. 0.53706134 0.24177903]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.68956536 0.31043464]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14056847 0.11989008 0.09745999 0.09573614 0.54634532]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09660965 0.56316779 0.23460569 0.10561687]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38549288 0.1131551 0.4288747 0.07247733]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22190815 0.28845746 0.48963439]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67497075 0.19812658 0. 0.12690267]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15574763 0.13283631 0. 0.10607412 0.60534194]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60956538 0. 0.39043462]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40231301 0.30071808 0.11452064 0.18244826]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43480231 0.56519769 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57532306 0. 0.16376891 0.26090802]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10801819 0.62967174 0.26231006 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29168229 0. 0.70831771 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.18992792 0.64591954 0.16415254]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39463942 0.33658583 0. 0.26877475 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08756307 0.08280148 0.15922586 0.67040959]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7943501 0.09633109 0.10931881]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.26567239 0.25122538 0.48310223 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.55600883 0. 0.44399117 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08561288 0.6194664 0.10617117 0.18874955]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.79736057 0.20263943]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22498114 0. 0.27900602 0.49601284]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15519212 0.36656424 0.21698216 0.26126147]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24500057 0. 0.34254801 0.41245142]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.46842273 0.53157727]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37265166 0. 0. 0.62734834]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77841876 0. 0.22158124 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17909864 0.17936013 0.64154123]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44640252 0. 0.55359748 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.27352184 0.5135022 0.21297595]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34211621 0.65788379 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.49963527 0.50036473 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56222627 0. 0.43777373]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
Iteration 40, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17203706 0.12632571 0.10725545 0.10644874 0.48793304]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11065772 0.53760536 0.24299767 0.10873924]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20454423 0.33339402 0.46206174]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36704232 0.11805967 0.44085325 0.07404476]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19270581 0.14150264 0. 0.11923762 0.54655393]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08051051 0.07295587 0.13156757 0.71496605]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7456803 0.12998269 0.12433701]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28245936 0.25595503 0.46158561 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25783014 0.4852919 0.25687797]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.17528014 0. 0.14770034 0.67701952]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18652064 0.69649719 0.11698217]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23931446 0. 0.5255201 0.23516544]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19479868 0.64276075 0.16244057]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50437217 0. 0. 0.49562783]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21123089 0.78876911 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38023738 0.61976262 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.54269578 0. 0.45730422 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.65388251 0.34611749]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19150023 0.16687467 0.6416251 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39317144 0.31368849 0.11464647 0.17849361]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47859815 0.38184546 0.13955639 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15675807 0.34136639 0.2222043 0.27967124]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51109956 0.48890044]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10106078 0.60077344 0.12220157 0.17596421]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.66831375 0.13593974 0.1957465 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.79826092 0.20173908]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.40984438 0.59015562]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20154145 0.43888953 0. 0.35956903]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35918319 0. 0. 0.64081681]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55622256 0.44377744 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53435725 0.46564275 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52461331 0.47538669 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17203706 0.12632571 0.10725545 0.10644874 0.48793304]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36704232 0.11805967 0.44085325 0.07404476]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20454423 0.33339402 0.46206174]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65643289 0.21114255 0. 0.13242456]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33596594 0.24669764 0.20945591 0.20788051 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25783014 0.4852919 0.25687797]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19150023 0.16687467 0.6416251 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39317144 0.31368849 0.11464647 0.17849361]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53435725 0.46564275 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08051051 0.07295587 0.13156757 0.71496605]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7456803 0.12998269 0.12433701]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10106078 0.60077344 0.12220157 0.17596421]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19479868 0.64276075 0.16244057]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25314143 0. 0.30609579 0.44076278]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.85708674 0. 0.14291326]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28245936 0.25595503 0.46158561 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44599082 0. 0.27805026 0.27595892 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.35671155 0.64328845 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34695531 0.65304469 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50188746 0.49811254 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36480745 0. 0. 0.63519255]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15675807 0.34136639 0.2222043 0.27967124]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11065772 0.53760536 0.24299767 0.10873924]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54528913 0. 0.45471087]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14617884 0.71017663 0. 0.14364453]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38023738 0.61976262 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50437217 0. 0. 0.49562783]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21762018 0.47390359 0.30847623 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51693099 0.18892728 0.29414174]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3146966 0.6853034 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.63734234 0. 0.36265766]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.61455985 0. 0.38544015]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17203706 0.12632571 0.10725545 0.10644874 0.48793304]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36704232 0.11805967 0.44085325 0.07404476]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20454423 0.33339402 0.46206174]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39317144 0.31368849 0.11464647 0.17849361]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19150023 0.16687467 0.6416251 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51693099 0.18892728 0.29414174]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65643289 0.21114255 0. 0.13242456]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.73234389 0.26765611 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.41912327 0.58087673]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11065772 0.53760536 0.24299767 0.10873924]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19479868 0.64276075 0.16244057]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15675807 0.34136639 0.2222043 0.27967124]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10106078 0.60077344 0.12220157 0.17596421]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23257894 0.76742106 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25314143 0. 0.30609579 0.44076278]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7456803 0.12998269 0.12433701]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36480745 0. 0. 0.63519255]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21762018 0.47390359 0.30847623 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.85708674 0. 0.14291326]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08051051 0.07295587 0.13156757 0.71496605]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3146966 0.6853034 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14617884 0.71017663 0. 0.14364453]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.8321312 0. 0. 0.1678688]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33596594 0.24669764 0.20945591 0.20788051 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25783014 0.4852919 0.25687797]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28245936 0.25595503 0.46158561 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53435725 0.46564275 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.37962673 0. 0.62037327 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50092496 0. 0.49907504]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44599082 0. 0.27805026 0.27595892 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50188746 0.49811254 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50437217 0. 0. 0.49562783]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17203706 0.12632571 0.10725545 0.10644874 0.48793304]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36704232 0.11805967 0.44085325 0.07404476]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39317144 0.31368849 0.11464647 0.17849361]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20454423 0.33339402 0.46206174]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57287606 0. 0.16704728 0.26007666]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41617591 0. 0.49986743 0.08395666]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.41912327 0.58087673]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.8321312 0. 0. 0.1678688]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11065772 0.53760536 0.24299767 0.10873924]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23931446 0. 0.5255201 0.23516544]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33596594 0.24669764 0.20945591 0.20788051 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10106078 0.60077344 0.12220157 0.17596421]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15675807 0.34136639 0.2222043 0.27967124]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.77423705 0. 0.22576295 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19150023 0.16687467 0.6416251 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25783014 0.4852919 0.25687797]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22985765 0. 0.77014235]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08051051 0.07295587 0.13156757 0.71496605]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42413543 0.31143993 0.26442464 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.31289703 0. 0.68710297 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57660364 0.42339636 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.07934389 0.14308762 0.77756849]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7456803 0.12998269 0.12433701]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.35671155 0.64328845 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.40482615 0.26351192 0.33166193]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51109956 0.48890044]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12264125 0.72906232 0.14829643 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34695531 0.65304469 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.83097401 0.16902599 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19479868 0.64276075 0.16244057]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.54967102 0. 0.45032898]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54528913 0. 0.45471087]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17203706 0.12632571 0.10725545 0.10644874 0.48793304]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11065772 0.53760536 0.24299767 0.10873924]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19479868 0.64276075 0.16244057]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14617884 0.71017663 0. 0.14364453]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36704232 0.11805967 0.44085325 0.07404476]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39317144 0.31368849 0.11464647 0.17849361]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19150023 0.16687467 0.6416251 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51693099 0.18892728 0.29414174]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20454423 0.33339402 0.46206174]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.41617591 0. 0.49986743 0.08395666]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19270581 0.14150264 0. 0.11923762 0.54655393]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.85619529 0.14380471]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38023738 0.61976262 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.17069879 0.82930121 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3910979 0.6089021]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15675807 0.34136639 0.2222043 0.27967124]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10106078 0.60077344 0.12220157 0.17596421]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.79826092 0.20173908]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25314143 0. 0.30609579 0.44076278]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21762018 0.47390359 0.30847623 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.41365076 0. 0.58634924 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42498065 0.31206057 0. 0.26295878 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25783014 0.4852919 0.25687797]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08051051 0.07295587 0.13156757 0.71496605]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7456803 0.12998269 0.12433701]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.28245936 0.25595503 0.46158561 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50092496 0. 0.49907504]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53435725 0.46564275 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61775882 0. 0. 0.38224118 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45265483 0. 0.54734517 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.52461331 0.47538669 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51109956 0.48890044]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
Iteration 41, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19260198 0.12505376 0.10156561 0.10940103 0.47137763]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.110824 0.56862132 0.21581775 0.10473694]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18031007 0.37534281 0.44434713]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25690652 0. 0.50029767 0.24279581]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31204975 0.12408413 0.49251951 0.07134662]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28865443 0. 0.71134557]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41178248 0.28853429 0.11271467 0.18696856]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61489999 0.24451014 0. 0.14058988]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21437512 0.13919075 0. 0.12176852 0.52466561]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.63492633 0. 0.36507367]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57878051 0. 0.158426 0.26279349]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16954658 0.14826156 0.68219187]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3761127 0.6238873]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15799913 0.33043587 0.25811871 0.2534463 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.74030098 0.13566429 0.12403474]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21297091 0.44540261 0. 0.34162648]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.33928302 0. 0.66071698 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2047185 0.61392716 0.18135434]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10358688 0.58601374 0.11508052 0.19531887]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53025876 0. 0.46974124]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.56592903 0. 0.43407097]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.45099855 0.29282701 0. 0.25617444 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25021815 0. 0.27798149 0.47180036]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.84512595 0.15487405 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08198102 0.08403539 0.15208079 0.6819028 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.34655365 0. 0. 0.65344635]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.606323 0.393677 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26829455 0.50041996 0.23128549]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25772316 0.26418148 0.47809535 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53704017 0. 0.46295983]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53348721 0.46651279 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.49381274 0.50618726 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19260198 0.12505376 0.10156561 0.10940103 0.47137763]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26829455 0.50041996 0.23128549]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16954658 0.14826156 0.68219187]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08198102 0.08403539 0.15208079 0.6819028 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34901715 0.65098285 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22013007 0. 0.11608211 0.12503743 0.53875039]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.110824 0.56862132 0.21581775 0.10473694]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18031007 0.37534281 0.44434713]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31204975 0.12408413 0.49251951 0.07134662]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32450128 0.67549872 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41178248 0.28853429 0.11271467 0.18696856]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61489999 0.24451014 0. 0.14058988]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25690652 0. 0.50029767 0.24279581]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24903905 0. 0. 0.14145819 0.60950276]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.71549074 0.28450926 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50647793 0.354887 0.13863507 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.17853085 0.82146915]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.71909044 0.28090956 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.67326343 0.32673657]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2047185 0.61392716 0.18135434]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10358688 0.58601374 0.11508052 0.19531887]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53025876 0. 0.46974124]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15799913 0.33043587 0.25811871 0.2534463 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.63774855 0. 0. 0.36225145 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09668494 0.09910778 0. 0.80420728]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.74030098 0.13566429 0.12403474]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.49381274 0.50618726 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25021815 0. 0.27798149 0.47180036]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.52239044 0.47760956]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23597311 0. 0.38550259 0.3785243 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.50456678 0.49543322]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.34655365 0. 0. 0.65344635]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19260198 0.12505376 0.10156561 0.10940103 0.47137763]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10358688 0.58601374 0.11508052 0.19531887]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2047185 0.61392716 0.18135434]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25021815 0. 0.27798149 0.47180036]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21626118 0.14041534 0.11404191 0. 0.52928158]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08198102 0.08403539 0.15208079 0.6819028 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.74030098 0.13566429 0.12403474]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25772316 0.26418148 0.47809535 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26829455 0.50041996 0.23128549]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.17916088 0.14551009 0. 0.67532903]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.68390903 0.31609097]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.49381274 0.50618726 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16954658 0.14826156 0.68219187]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.17726993 0. 0.82273007]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.110824 0.56862132 0.21581775 0.10473694]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18031007 0.37534281 0.44434713]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25690652 0. 0.50029767 0.24279581]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31204975 0.12408413 0.49251951 0.07134662]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18036788 0.71592314 0.10370898]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41178248 0.28853429 0.11271467 0.18696856]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.87346887 0.12653113]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28865443 0. 0.71134557]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50647793 0.354887 0.13863507 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.17853085 0.82146915]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.71909044 0.28090956 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.33928302 0. 0.66071698 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.52239044 0.47760956]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15799913 0.33043587 0.25811871 0.2534463 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53025876 0. 0.46974124]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23597311 0. 0.38550259 0.3785243 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.37074982 0.62925018]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37969805 0. 0.62030195 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19260198 0.12505376 0.10156561 0.10940103 0.47137763]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26829455 0.50041996 0.23128549]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16954658 0.14826156 0.68219187]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41178248 0.28853429 0.11271467 0.18696856]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53348721 0.46651279 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08198102 0.08403539 0.15208079 0.6819028 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.74030098 0.13566429 0.12403474]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10358688 0.58601374 0.11508052 0.19531887]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15799913 0.33043587 0.25811871 0.2534463 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2047185 0.61392716 0.18135434]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12873034 0.72825585 0.14301381 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53025876 0. 0.46974124]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23597311 0. 0.38550259 0.3785243 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.85649704 0. 0.14350296]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25772316 0.26418148 0.47809535 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34901715 0.65098285 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.35025371 0. 0.64974629 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22013007 0. 0.11608211 0.12503743 0.53875039]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.14884804 0.16033113 0.69082083]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31204975 0.12408413 0.49251951 0.07134662]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.110824 0.56862132 0.21581775 0.10473694]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18031007 0.37534281 0.44434713]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33602392 0.13361727 0.53035882 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32450128 0.67549872 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49052312 0.19162073 0.31785615]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25690652 0. 0.50029767 0.24279581]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.48142971 0.51857029 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.67326343 0.32673657]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.71549074 0.28450926 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47371889 0. 0.52628111 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38400993 0. 0. 0.61599007]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3761127 0.6238873]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19260198 0.12505376 0.10156561 0.10940103 0.47137763]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10358688 0.58601374 0.11508052 0.19531887]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2047185 0.61392716 0.18135434]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25021815 0. 0.27798149 0.47180036]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21626118 0.14041534 0.11404191 0. 0.52928158]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.26829455 0.50041996 0.23128549]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08198102 0.08403539 0.15208079 0.6819028 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.74030098 0.13566429 0.12403474]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25772316 0.26418148 0.47809535 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.25158799 0. 0.13267094 0. 0.61574107]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.31204975 0.12408413 0.49251951 0.07134662]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18031007 0.37534281 0.44434713]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.61489999 0.24451014 0. 0.14058988]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.110824 0.56862132 0.21581775 0.10473694]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32450128 0.67549872 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25690652 0. 0.50029767 0.24279581]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53025876 0. 0.46974124]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15799913 0.33043587 0.25811871 0.2534463 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.52239044 0.47760956]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.37074982 0.62925018]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21297091 0.44540261 0. 0.34162648]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.51411912 0. 0. 0.48588088]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.65473556 0. 0.34526444 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.35590694 0.64409306 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16954658 0.14826156 0.68219187]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.53704017 0. 0.46295983]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.71549074 0.28450926 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19905944 0. 0.80094056]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41178248 0.28853429 0.11271467 0.18696856]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49052312 0.19162073 0.31785615]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3761127 0.6238873]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38400993 0. 0. 0.61599007]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
Iteration 42, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1824528 0.13885095 0.10079053 0.10477648 0.47312923]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09498738 0.07452727 0.14136067 0.68912467]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75868383 0.1242733 0.11704287]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30554815 0.23973364 0.45471821 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.16983845 0.12328406 0.12815955 0.57871794]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25168895 0.51281476 0.23549628]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34521276 0.65478724 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16539197 0.146719 0.68788903]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41259649 0.29189274 0.10807033 0.18744044]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52991398 0.47008602 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5166186 0. 0.4833814]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.1485061 0.15437905 0.69711485]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10988755 0.54335007 0.23697332 0.10978906]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19071128 0.63464255 0.17464617]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14401535 0.71209839 0. 0.14388626]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18818437 0.36043002 0.45138561]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32711562 0.1243228 0.47485567 0.07370591]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50022418 0. 0. 0.49977582]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35314445 0.13421526 0.51264029 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34301756 0.65698244 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0.18130377 0.81869623]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.7246074 0.2753926 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08672535 0.66305346 0.0996219 0.15059929]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.78419794 0.21580206]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16099703 0.32929331 0.24637914 0.26333052]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25738608 0. 0.29566084 0.44695308]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24004089 0. 0.3673426 0.39261651]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51498125 0.48501875]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46539646 0. 0.53460354 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37941687 0. 0. 0.62058313]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49692032 0.18397972 0.31909997]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36570691 0.63429309]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1824528 0.13885095 0.10079053 0.10477648 0.47312923]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08672535 0.66305346 0.0996219 0.15059929]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75868383 0.1242733 0.11704287]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09498738 0.07452727 0.14136067 0.68912467]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25168895 0.51281476 0.23549628]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16539197 0.146719 0.68788903]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41259649 0.29189274 0.10807033 0.18744044]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18818437 0.36043002 0.45138561]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10988755 0.54335007 0.23697332 0.10978906]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29423578 0. 0.70576422]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32711562 0.1243228 0.47485567 0.07370591]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58267513 0. 0.15261859 0.26470628]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52991398 0.47008602 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32921874 0.67078126 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11062547 0.08679695 0. 0.80257758]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20380698 0.15510199 0.112587 0. 0.52850402]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24063849 0. 0.5189387 0.2404228 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22966419 0.17477994 0. 0. 0.59555587]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37355731 0. 0.5422725 0.08417019]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36570691 0.63429309]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16099703 0.32929331 0.24637914 0.26333052]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09632103 0.73641669 0. 0.16726228]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19071128 0.63464255 0.17464617]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36542918 0. 0. 0.63457082]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21854717 0.44700278 0.33445004 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52198546 0. 0.47801454]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39520484 0. 0.60479516 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51498125 0.48501875]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56785146 0.43214854 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.09759325 0. 0.90240675]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81611289 0. 0. 0.18388711]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.68338821 0.31661179]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1824528 0.13885095 0.10079053 0.10477648 0.47312923]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09498738 0.07452727 0.14136067 0.68912467]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75868383 0.1242733 0.11704287]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30554815 0.23973364 0.45471821 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16539197 0.146719 0.68788903]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40189618 0. 0.59810382 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.16983845 0.12328406 0.12815955 0.57871794]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08672535 0.66305346 0.0996219 0.15059929]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19071128 0.63464255 0.17464617]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25738608 0. 0.29566084 0.44695308]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.19480451 0.14140667 0. 0.66378882]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25168895 0.51281476 0.23549628]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.1757939 0.8242061]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41259649 0.29189274 0.10807033 0.18744044]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16099703 0.32929331 0.24637914 0.26333052]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52198546 0. 0.47801454]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24004089 0. 0.3673426 0.39261651]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.39813534 0.60186466]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39520484 0. 0.60479516 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.46258859 0.32725982 0. 0.21015159]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32921874 0.67078126 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.17561781 0. 0.82438219]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32711562 0.1243228 0.47485567 0.07370591]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10988755 0.54335007 0.23697332 0.10978906]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14401535 0.71209839 0. 0.14388626]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18818437 0.36043002 0.45138561]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50022418 0. 0. 0.49977582]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18476101 0.70570173 0.10953726]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29423578 0. 0.70576422]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.60895584 0. 0.39104416]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62780188 0. 0.37219812]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51498125 0.48501875]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1824528 0.13885095 0.10079053 0.10477648 0.47312923]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25168895 0.51281476 0.23549628]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09498738 0.07452727 0.14136067 0.68912467]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75868383 0.1242733 0.11704287]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30554815 0.23973364 0.45471821 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.5166186 0. 0.4833814]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21187134 0. 0.11704192 0.12167056 0.54941619]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32711562 0.1243228 0.47485567 0.07370591]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.47021516 0. 0.25975615 0.27002869 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10988755 0.54335007 0.23697332 0.10978906]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18818437 0.36043002 0.45138561]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18476101 0.70570173 0.10953726]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34301756 0.65698244 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24063849 0. 0.5189387 0.2404228 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19071128 0.63464255 0.17464617]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50022418 0. 0. 0.49977582]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.63521657 0. 0. 0.36478343 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08672535 0.66305346 0.0996219 0.15059929]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.78419794 0.21580206]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25738608 0. 0.29566084 0.44695308]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51498125 0.48501875]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36542918 0. 0. 0.63457082]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16099703 0.32929331 0.24637914 0.26333052]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24004089 0. 0.3673426 0.39261651]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37941687 0. 0. 0.62058313]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56034908 0.43965092 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16539197 0.146719 0.68788903]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41259649 0.29189274 0.10807033 0.18744044]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58267513 0. 0.15261859 0.26470628]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.62780188 0. 0.37219812]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79243861 0. 0.20756139 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52991398 0.47008602 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1824528 0.13885095 0.10079053 0.10477648 0.47312923]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09498738 0.07452727 0.14136067 0.68912467]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.75868383 0.1242733 0.11704287]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30554815 0.23973364 0.45471821 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25168895 0.51281476 0.23549628]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.16983845 0.12328406 0.12815955 0.57871794]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10988755 0.54335007 0.23697332 0.10978906]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.19071128 0.63464255 0.17464617]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08672535 0.66305346 0.0996219 0.15059929]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52198546 0. 0.47801454]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14401535 0.71209839 0. 0.14388626]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.19372118 0. 0.14618139 0.66009743]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32711562 0.1243228 0.47485567 0.07370591]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.83190556 0. 0.16809444]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18818437 0.36043002 0.45138561]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35314445 0.13421526 0.51264029 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.34301756 0.65698244 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.7246074 0.2753926 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.5699315 0. 0.4300685 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.68529626 0.31470374]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56034908 0.43965092 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.16539197 0.146719 0.68788903]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41259649 0.29189274 0.10807033 0.18744044]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52991398 0.47008602 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25738608 0. 0.29566084 0.44695308]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16099703 0.32929331 0.24637914 0.26333052]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24004089 0. 0.3673426 0.39261651]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.51498125 0.48501875]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46539646 0. 0.53460354 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49692032 0.18397972 0.31909997]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37941687 0. 0. 0.62058313]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.60895584 0. 0.39104416]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
Iteration 43, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18218449 0.13528433 0.10893177 0.10966314 0.46393627]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10322292 0.54745024 0.24340419 0.10592265]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19323311 0.32388431 0.48288258]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33511903 0.14069339 0.44189416 0.08229342]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22809188 0. 0.53785066 0.23405746]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20159102 0.60773229 0.19067669]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16238237 0.32876533 0.24095428 0.26789802]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4168274 0.29631501 0.09744265 0.18941495]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37367356 0.62632644 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59234942 0. 0.13847482 0.26917576]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36517013 0.15330978 0.48152009 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20445627 0.15182263 0. 0.1230693 0.52065179]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22843504 0.56713547 0.20442949]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09654004 0.07397372 0.1220266 0.70745964]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7961263 0.10045995 0.10341374]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3300059 0.2528667 0.4171274 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.24105368 0. 0. 0.14509854 0.61384778]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.24149742 0.75850258 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49354582 0. 0. 0.50645418]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.62424522 0. 0. 0.37575478 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.37741631 0.62258369 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52772872 0. 0.47227128]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20723432 0.16572453 0.62704115]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.81052241 0. 0.18947759 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55564929 0.44435071 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09952696 0.62921839 0.11016298 0.16109166]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24908589 0.75091411 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26842476 0. 0.29711017 0.43446508]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39250049 0.2876662 0.31983331]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47463869 0. 0.52536131 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49275583 0.50724417]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.57706514 0.42293486 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18218449 0.13528433 0.10893177 0.10966314 0.46393627]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09654004 0.07397372 0.1220266 0.70745964]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7961263 0.10045995 0.10341374]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09952696 0.62921839 0.11016298 0.16109166]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16238237 0.32876533 0.24095428 0.26789802]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20159102 0.60773229 0.19067669]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10322292 0.54745024 0.24340419 0.10592265]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.16542157 0.13319846 0.13409277 0.5672872 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22843504 0.56713547 0.20442949]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3300059 0.2528667 0.4171274 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52772872 0. 0.47227128]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20723432 0.16572453 0.62704115]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4168274 0.29631501 0.09744265 0.18941495]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19323311 0.32388431 0.48288258]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.61046413 0.27142106 0.1181148 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28579888 0. 0.71420112]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33511903 0.14069339 0.44189416 0.08229342]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.15959969 0.16067126 0.67972905]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21160689 0.66462146 0.12377165]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59234942 0. 0.13847482 0.26917576]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55564929 0.44435071 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56617157 0.43382843 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.49832709 0.50167291 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69678067 0.30321933]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.76117917 0.23882083]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11863866 0.75004427 0.13131707 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24191594 0. 0.35897175 0.39911231]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47463869 0. 0.52536131 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88503709 0. 0.11496291]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.84300769 0.15699231]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33968998 0.66031002]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40259759 0. 0.59740241 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18218449 0.13528433 0.10893177 0.10966314 0.46393627]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33511903 0.14069339 0.44189416 0.08229342]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19323311 0.32388431 0.48288258]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60045784 0.25209088 0. 0.14745127]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33985603 0.25236612 0.20320675 0.2045711 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09654004 0.07397372 0.1220266 0.70745964]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7961263 0.10045995 0.10341374]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3300059 0.2528667 0.4171274 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22843504 0.56713547 0.20442949]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56617157 0.43382843 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20723432 0.16572453 0.62704115]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4168274 0.29631501 0.09744265 0.18941495]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37367356 0.62632644 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10322292 0.54745024 0.24340419 0.10592265]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59234942 0. 0.13847482 0.26917576]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55564929 0.44435071 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.52772872 0. 0.47227128]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.38228953 0.30782187 0.30988861 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09952696 0.62921839 0.11016298 0.16109166]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49275583 0.50724417]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16238237 0.32876533 0.24095428 0.26789802]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33968998 0.66031002]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.6309494 0. 0.3690506]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39250049 0.2876662 0.31983331]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20159102 0.60773229 0.19067669]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11184853 0.70711645 0. 0.18103502]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51391183 0. 0.48608817]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22809188 0. 0.53785066 0.23405746]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.55395336 0.44604664 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69678067 0.30321933]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.473525 0.526475]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38188738 0. 0. 0.61811262]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18218449 0.13528433 0.10893177 0.10966314 0.46393627]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33511903 0.14069339 0.44189416 0.08229342]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33985603 0.25236612 0.20320675 0.2045711 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09952696 0.62921839 0.11016298 0.16109166]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20159102 0.60773229 0.19067669]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26842476 0. 0.29711017 0.43446508]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16238237 0.32876533 0.24095428 0.26789802]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51391183 0. 0.48608817]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10322292 0.54745024 0.24340419 0.10592265]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19323311 0.32388431 0.48288258]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21160689 0.66462146 0.12377165]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37367356 0.62632644 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22809188 0. 0.53785066 0.23405746]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24191594 0. 0.35897175 0.39911231]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4168274 0.29631501 0.09744265 0.18941495]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20723432 0.16572453 0.62704115]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22843504 0.56713547 0.20442949]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.24840035 0. 0.75159965]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09654004 0.07397372 0.1220266 0.70745964]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42726136 0.3172705 0.25546815 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.08187824 0.13506586 0.78305589]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7961263 0.10045995 0.10341374]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.37741631 0.62258369 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28713362 0.71286638 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50810858 0.16709059 0.32480083]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33968998 0.66031002]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.473525 0.526475]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.47463869 0. 0.52536131 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49275583 0.50724417]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.55395336 0.44604664 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49354582 0. 0. 0.50645418]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.6309494 0. 0.3690506]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18218449 0.13528433 0.10893177 0.10966314 0.46393627]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09952696 0.62921839 0.11016298 0.16109166]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20159102 0.60773229 0.19067669]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26842476 0. 0.29711017 0.43446508]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20462423 0.15194735 0.12234894 0. 0.52107949]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09654004 0.07397372 0.1220266 0.70745964]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7961263 0.10045995 0.10341374]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16238237 0.32876533 0.24095428 0.26789802]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88795283 0.11204717 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3300059 0.2528667 0.4171274 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20723432 0.16572453 0.62704115]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4168274 0.29631501 0.09744265 0.18941495]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19323311 0.32388431 0.48288258]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59234942 0. 0.13847482 0.26917576]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55564929 0.44435071 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.22843504 0.56713547 0.20442949]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.44169614 0. 0.55830386 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.19103844 0.15382532 0. 0.65513623]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28713362 0.71286638 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.19015159 0. 0.80984841]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33511903 0.14069339 0.44189416 0.08229342]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.4014596 0.5985404]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10322292 0.54745024 0.24340419 0.10592265]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60045784 0.25209088 0. 0.14745127]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.22809188 0. 0.53785066 0.23405746]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.6309494 0. 0.3690506]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69678067 0.30321933]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51391183 0. 0.48608817]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33968998 0.66031002]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.40612386 0.59387614]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21392962 0.43312982 0. 0.35294056]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37738733 0. 0. 0.62261267]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
Iteration 44, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1434362 0.11740951 0.10663059 0.10705168 0.52547202]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24096844 0.52805894 0.23097262]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09953485 0.07429405 0.13390426 0.69226684]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79262687 0.09957566 0.10779747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3234453 0.24142361 0.43513109 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16251727 0. 0.12081548 0.12129258 0.59537467]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.35684271 0.64315729 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19511433 0.16472876 0.64015691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41516772 0.29582119 0.10032517 0.18868592]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54222058 0.45777942 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51059012 0. 0.48940988]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.14426026 0.14482995 0.71090979]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34815198 0.12542334 0.45784832 0.06857635]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.49901469 0.50098531 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09242865 0.64121524 0.10588477 0.16047134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22573922 0.57934351 0.19491727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25761588 0. 0.2951206 0.44726352]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4801763 0.5198237]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795639 0.35015929 0.22992814 0.26195618]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53663554 0. 0.46336446]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2430694 0. 0.35382231 0.40310829]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36547512 0. 0. 0.63452488]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40722529 0. 0.59277471 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50582227 0.17154519 0.32263254]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17291444 0.37418288 0.45290268]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19241194 0.70238508 0.10520298]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31605791 0.68394209 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34713258 0.65286742]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64651309 0. 0.35348691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10306545 0.55543249 0.22434932 0.11715274]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23183307 0. 0.50464624 0.2635207 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46801515 0. 0. 0.53198485]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1434362 0.11740951 0.10663059 0.10705168 0.52547202]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34815198 0.12542334 0.45784832 0.06857635]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10306545 0.55543249 0.22434932 0.11715274]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17291444 0.37418288 0.45290268]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41516772 0.29582119 0.10032517 0.18868592]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.45241133 0.54758867]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23183307 0. 0.50464624 0.2635207 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37378478 0.13465767 0.49155755 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30227131 0.24742379 0.22470876 0.22559613 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09242865 0.64121524 0.10588477 0.16047134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22573922 0.57934351 0.19491727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25761588 0. 0.2951206 0.44726352]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79262687 0.09957566 0.10779747]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36547512 0. 0. 0.63452488]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795639 0.35015929 0.22992814 0.26195618]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53663554 0. 0.46336446]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2430694 0. 0.35382231 0.40310829]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39032774 0.31950227 0.29016998 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.31478558 0. 0.68521442 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.54988904 0.45011096 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09953485 0.07429405 0.13390426 0.69226684]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19511433 0.16472876 0.64015691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58957713 0. 0.14247115 0.26795172]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.21503418 0.78496582 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80538012 0. 0.19461988 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54222058 0.45777942 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24096844 0.52805894 0.23097262]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69570091 0.30429909]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10752318 0. 0.14465097 0.74782585]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88028148 0. 0.11971852]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42638462 0. 0.57361538 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40722529 0. 0.59277471 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1434362 0.11740951 0.10663059 0.10705168 0.52547202]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10306545 0.55543249 0.22434932 0.11715274]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17291444 0.37418288 0.45290268]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34815198 0.12542334 0.45784832 0.06857635]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31605791 0.68394209 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23183307 0. 0.50464624 0.2635207 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64216712 0.23134364 0. 0.12648924]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16055642 0.13142325 0. 0.11982913 0.5881912 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64651309 0. 0.35348691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41516772 0.29582119 0.10032517 0.18868592]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58957713 0. 0.14247115 0.26795172]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.31478558 0. 0.68521442 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22573922 0.57934351 0.19491727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38988099 0.31913658 0. 0.29098244 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24096844 0.52805894 0.23097262]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09953485 0.07429405 0.13390426 0.69226684]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79262687 0.09957566 0.10779747]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09242865 0.64121524 0.10588477 0.16047134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.74825372 0.25174628]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25761588 0. 0.2951206 0.44726352]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5726273 0. 0. 0.4273727 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3234453 0.24142361 0.43513109 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51059012 0. 0.48940988]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19511433 0.16472876 0.64015691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80538012 0. 0.19461988 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54222058 0.45777942 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.39753086 0.60246914]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88028148 0. 0.11971852]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57260242 0.42739758 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795639 0.35015929 0.22992814 0.26195618]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2430694 0. 0.35382231 0.40310829]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40722529 0. 0.59277471 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1434362 0.11740951 0.10663059 0.10705168 0.52547202]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34815198 0.12542334 0.45784832 0.06857635]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30227131 0.24742379 0.22470876 0.22559613 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09242865 0.64121524 0.10588477 0.16047134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22573922 0.57934351 0.19491727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10306545 0.55543249 0.22434932 0.11715274]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17291444 0.37418288 0.45290268]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41516772 0.29582119 0.10032517 0.18868592]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19511433 0.16472876 0.64015691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50582227 0.17154519 0.32263254]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19241194 0.70238508 0.10520298]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.45241133 0.54758867]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64651309 0. 0.35348691]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23183307 0. 0.50464624 0.2635207 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.74674722 0.25325278 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.31478558 0. 0.68521442 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.74825372 0.25174628]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25761588 0. 0.2951206 0.44726352]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39032774 0.31950227 0.29016998 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09953485 0.07429405 0.13390426 0.69226684]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79262687 0.09957566 0.10779747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3234453 0.24142361 0.43513109 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52405578 0.47594422 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24096844 0.52805894 0.23097262]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.35684271 0.64315729 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51059012 0. 0.48940988]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54222058 0.45777942 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795639 0.35015929 0.22992814 0.26195618]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.39753086 0.60246914]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4801763 0.5198237]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.41584461 0.27305966 0.31109573]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.60363192 0.39636808 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1434362 0.11740951 0.10663059 0.10705168 0.52547202]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09242865 0.64121524 0.10588477 0.16047134]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22573922 0.57934351 0.19491727]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10306545 0.55543249 0.22434932 0.11715274]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17291444 0.37418288 0.45290268]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41516772 0.29582119 0.10032517 0.18868592]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.45241133 0.54758867]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34815198 0.12542334 0.45784832 0.06857635]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23183307 0. 0.50464624 0.2635207 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.74825372 0.25174628]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25761588 0. 0.2951206 0.44726352]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15795639 0.35015929 0.22992814 0.26195618]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.4660736 0. 0.5339264 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79262687 0.09957566 0.10779747]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09953485 0.07429405 0.13390426 0.69226684]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4801763 0.5198237]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16063214 0.13148523 0.11941407 0. 0.58846857]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64216712 0.23134364 0. 0.12648924]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39032774 0.31950227 0.29016998 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.3234453 0.24142361 0.43513109 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52405578 0.47594422 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24096844 0.52805894 0.23097262]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.35684271 0.64315729 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51059012 0. 0.48940988]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46801515 0. 0. 0.53198485]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64651309 0. 0.35348691]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58957713 0. 0.14247115 0.26795172]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19511433 0.16472876 0.64015691]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34713258 0.65286742]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21402034 0.47444241 0.31153725 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40722529 0. 0.59277471 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54222058 0.45777942 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
Iteration 45, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14446897 0.10738567 0.11976739 0.09966451 0.52871347]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3944462 0.10449091 0.42603439 0.0750285 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18998387 0.2875176 0.52249853]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.68722967 0.18205083 0. 0.1307195 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654168 0.22785643 0.25412861 0.21147327 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11046353 0.07606802 0.16412522 0.64934323]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18702784 0.17289659 0.64007556]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41444712 0.28955634 0.10022899 0.19576755]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58205913 0. 0.41794087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5153325 0.36004061 0.12462689 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16641905 0.35153663 0.22406791 0.25797641]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21576993 0.6081598 0.17607027]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08407975 0.65664262 0.10870998 0.15056764]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55065798 0. 0.44934202]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09098223 0.56848579 0.20880888 0.1317231 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32857985 0.36646559 0.30495456 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24487534 0. 0.31660883 0.43851583]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25663601 0. 0.34553672 0.39782727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43612154 0. 0.56387846 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7814558 0.0979641 0.12058009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11955808 0. 0.17763778 0.70280414]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23446925 0.4801305 0.28540025]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.51963086 0.48036914 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3281127 0.6718873 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.14538372 0. 0. 0.85461628]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44825764 0.55174236]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.47274585 0.52725415 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.62538469 0.22970824 0.14490707]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39787076 0.60212924 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.61318434 0.38681566]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42618338 0. 0.57381662 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5887004 0.4112996 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14446897 0.10738567 0.11976739 0.09966451 0.52871347]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3944462 0.10449091 0.42603439 0.0750285 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654168 0.22785643 0.25412861 0.21147327 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09098223 0.56848579 0.20880888 0.1317231 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21576993 0.6081598 0.17607027]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11499399 0.71851892 0. 0.16648708]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18998387 0.2875176 0.52249853]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.1725543 0.70354506 0.12390063]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39787076 0.60212924 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.40853188 0. 0. 0.59146812]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58205913 0. 0.41794087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41444712 0.28955634 0.10022899 0.19576755]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58336381 0. 0.14107943 0.27555675]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41098464 0.30549024 0. 0.28352512 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11046353 0.07606802 0.16412522 0.64934323]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23446925 0.4801305 0.28540025]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.51864563 0. 0.48135437 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.62718643 0.37281357]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13215321 0.09100408 0. 0.77684271]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7814558 0.0979641 0.12058009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59219758 0.40780242 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08407975 0.65664262 0.10870998 0.15056764]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44825764 0.55174236]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16641905 0.35153663 0.22406791 0.25797641]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.80525813 0. 0.19474187 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.42171865 0.26880161 0.30947974]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.77548646 0.22451354]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0943349 0.73673283 0. 0.16893227]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46482843 0.53517157]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11351048 0.88648952 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18702784 0.17289659 0.64007556]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.2261239 0. 0.7738761]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14446897 0.10738567 0.11976739 0.09966451 0.52871347]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3944462 0.10449091 0.42603439 0.0750285 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18998387 0.2875176 0.52249853]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.68722967 0.18205083 0. 0.1307195 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654168 0.22785643 0.25412861 0.21147327 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08407975 0.65664262 0.10870998 0.15056764]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16641905 0.35153663 0.22406791 0.25797641]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21576993 0.6081598 0.17607027]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09898346 0.77303698 0.12797956 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55065798 0. 0.44934202]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09098223 0.56848579 0.20880888 0.1317231 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39787076 0.60212924 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41444712 0.28955634 0.10022899 0.19576755]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18702784 0.17289659 0.64007556]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23446925 0.4801305 0.28540025]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.2261239 0. 0.7738761]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49450075 0.17116983 0.33432941]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58205913 0. 0.41794087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.74286106 0.25713894 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21084411 0. 0.48389804 0.30525786]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25663601 0. 0.34553672 0.39782727]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.43612154 0. 0.56387846 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7814558 0.0979641 0.12058009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11046353 0.07606802 0.16412522 0.64934323]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3281127 0.6718873 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13215321 0.09100408 0. 0.77684271]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44825764 0.55174236]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42618338 0. 0.57381662 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38875243 0.28896475 0.32228282 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59219758 0.40780242 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.47274585 0.52725415 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.40853188 0. 0. 0.59146812]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14446897 0.10738567 0.11976739 0.09966451 0.52871347]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08407975 0.65664262 0.10870998 0.15056764]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21576993 0.6081598 0.17607027]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24487534 0. 0.31660883 0.43851583]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7814558 0.0979641 0.12058009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11046353 0.07606802 0.16412522 0.64934323]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44825764 0.55174236]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35832383 0. 0. 0.64167617]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16641905 0.35153663 0.22406791 0.25797641]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16046126 0.11927295 0.13302529 0. 0.5872405 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3944462 0.10449091 0.42603439 0.0750285 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41444712 0.28955634 0.10022899 0.19576755]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2242773 0.47375399 0.30196871 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55065798 0. 0.44934202]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09098223 0.56848579 0.20880888 0.1317231 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42618338 0. 0.57381662 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.460614 0.32181114 0. 0.21757486]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18702784 0.17289659 0.64007556]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31501896 0.21693012 0.46805092 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.21267222 0.78732778]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.59662495 0. 0.40337505]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.44047146 0. 0.47574547 0.08378307]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38875243 0.28896475 0.32228282 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.40228716 0. 0.59771284 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23446925 0.4801305 0.28540025]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.47274585 0.52725415 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.4510156 0. 0.5489844]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11499399 0.71851892 0. 0.16648708]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18998387 0.2875176 0.52249853]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.85026131 0.14973869]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39787076 0.60212924 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.40853188 0. 0. 0.59146812]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14446897 0.10738567 0.11976739 0.09966451 0.52871347]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.3944462 0.10449091 0.42603439 0.0750285 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18998387 0.2875176 0.52249853]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.68722967 0.18205083 0. 0.1307195 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654168 0.22785643 0.25412861 0.21147327 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11046353 0.07606802 0.16412522 0.64934323]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.7814558 0.0979641 0.12058009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31501896 0.21693012 0.46805092 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32857985 0.36646559 0.30495456 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09098223 0.56848579 0.20880888 0.1317231 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21576993 0.6081598 0.17607027]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16641905 0.35153663 0.22406791 0.25797641]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.26187904 0.73812096 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08407975 0.65664262 0.10870998 0.15056764]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11499399 0.71851892 0. 0.16648708]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39787076 0.60212924 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41444712 0.28955634 0.10022899 0.19576755]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18702784 0.17289659 0.64007556]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.31669508 0.68330492 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23446925 0.4801305 0.28540025]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.51864563 0. 0.48135437 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.62718643 0.37281357]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.21267222 0.78732778]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49450075 0.17116983 0.33432941]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.40853188 0. 0. 0.59146812]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58205913 0. 0.41794087]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33861541 0.66138459]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.24487534 0. 0.31660883 0.43851583]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44825764 0.55174236]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35832383 0. 0. 0.64167617]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25663601 0. 0.34553672 0.39782727]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39213202 0. 0. 0.60786798]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
Iteration 46, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14429073 0.10685592 0.1227588 0.09915378 0.52694079]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34043228 0.10658058 0.47766018 0.07532697]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3050162 0.22588275 0.25949985 0.2096012 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10645827 0.08143831 0.15617022 0.6559332 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77882664 0.09749481 0.12367855]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0927697 0.63893664 0.11251985 0.15577381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2074006 0.61446663 0.17813276]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25693468 0. 0.31163463 0.43143069]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86296084 0. 0.13703916]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30941163 0.23669332 0.45389505 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17486739 0.15972052 0.66541209]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2493603 0.49144669 0.25919301]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.4053569 0. 0.5946431 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32501873 0.37338979 0.30159149 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.49033267 0. 0.50966733]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.5531854 0.4468146 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37325335 0. 0. 0.62674665]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10674592 0.50317227 0.24551145 0.14457036]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17244708 0.28538184 0.54217108]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21485499 0. 0.49415811 0.2909869 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5379576 0. 0.4620424]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18443091 0.34998637 0.20750361 0.25807911]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23272145 0.44162519 0. 0.32565336]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34510656 0.65489344 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40621807 0.30471243 0.10423838 0.18483111]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20810623 0. 0.79189377]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51317229 0.17554994 0.31127777]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.16159157 0.72420186 0.11420657]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2413136 0. 0.7586864]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58590522 0. 0.41409478]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.74510778 0.25489222 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.42474733 0. 0. 0.57525267]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14429073 0.10685592 0.1227588 0.09915378 0.52694079]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0927697 0.63893664 0.11251985 0.15577381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2074006 0.61446663 0.17813276]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25693468 0. 0.31163463 0.43143069]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77882664 0.09749481 0.12367855]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10645827 0.08143831 0.15617022 0.6559332 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44080719 0.55919281]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18443091 0.34998637 0.20750361 0.25807911]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5379576 0. 0.4620424]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28373391 0. 0.31922964 0.39703645]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40621807 0.30471243 0.10423838 0.18483111]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17244708 0.28538184 0.54217108]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10674592 0.50317227 0.24551145 0.14457036]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2413136 0. 0.7586864]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34043228 0.10658058 0.47766018 0.07532697]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58424469 0. 0.14992125 0.26583406]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.44568581 0.55431419]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37325335 0. 0. 0.62674665]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16017243 0.11861727 0.13627053 0. 0.58493977]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38104419 0. 0.53464271 0.08431311]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38590165 0.28578326 0.32831508 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30941163 0.23669332 0.45389505 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2493603 0.49144669 0.25919301]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17486739 0.15972052 0.66541209]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68728302 0. 0. 0.31271698]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.8637817 0.1362183]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52263511 0.47736489 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56657906 0.43342094 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3366063 0.6633937 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.46537051 0.53462949 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21485499 0. 0.49415811 0.2909869 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30303388 0. 0.69696612 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14429073 0.10685592 0.1227588 0.09915378 0.52694079]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2493603 0.49144669 0.25919301]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10645827 0.08143831 0.15617022 0.6559332 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77882664 0.09749481 0.12367855]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30941163 0.23669332 0.45389505 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16155369 0. 0.13744568 0.11101655 0.58998407]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10674592 0.50317227 0.24551145 0.14457036]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17244708 0.28538184 0.54217108]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40621807 0.30471243 0.10423838 0.18483111]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17486739 0.15972052 0.66541209]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51317229 0.17554994 0.31127777]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34485027 0.65514973]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34043228 0.10658058 0.47766018 0.07532697]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18729683 0. 0. 0.12870674 0.68399643]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.16159157 0.72420186 0.11420657]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21485499 0. 0.49415811 0.2909869 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58590522 0. 0.41409478]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30303388 0. 0.69696612 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2074006 0.61446663 0.17813276]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0927697 0.63893664 0.11251985 0.15577381]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18443091 0.34998637 0.20750361 0.25807911]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36059973 0.63940027]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.42913148 0.254428 0.31644052]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44080719 0.55919281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10988726 0.75683111 0.13328164 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5379576 0. 0.4620424]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5927048 0. 0. 0.4072952 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45189685 0. 0.54810315 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34274154 0.65725846 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.49033267 0. 0.50966733]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52263511 0.47736489 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.57557349 0. 0.42442651]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14429073 0.10685592 0.1227588 0.09915378 0.52694079]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34043228 0.10658058 0.47766018 0.07532697]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17244708 0.28538184 0.54217108]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65174482 0.20404453 0. 0.14421065]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3050162 0.22588275 0.25949985 0.2096012 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0927697 0.63893664 0.11251985 0.15577381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2074006 0.61446663 0.17813276]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18443091 0.34998637 0.20750361 0.25807911]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25235293 0.74764707 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10674592 0.50317227 0.24551145 0.14457036]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3766627 0.6233373 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21485499 0. 0.49415811 0.2909869 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58590522 0. 0.41409478]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40621807 0.30471243 0.10423838 0.18483111]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58424469 0. 0.14992125 0.26583406]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17486739 0.15972052 0.66541209]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2493603 0.49144669 0.25919301]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38590165 0.28578326 0.32831508 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10645827 0.08143831 0.15617022 0.6559332 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77882664 0.09749481 0.12367855]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28373391 0. 0.31922964 0.39703645]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25693468 0. 0.31163463 0.43143069]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.47056561 0. 0.52943439 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88874538 0.11125462 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30941163 0.23669332 0.45389505 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.65470384 0.34529616]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20810623 0. 0.79189377]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56657906 0.43342094 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.46537051 0.53462949 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30303388 0. 0.69696612 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45189685 0. 0.54810315 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36059973 0.63940027]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14429073 0.10685592 0.1227588 0.09915378 0.52694079]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34043228 0.10658058 0.47766018 0.07532697]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17244708 0.28538184 0.54217108]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40621807 0.30471243 0.10423838 0.18483111]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.34485027 0.65514973]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.65174482 0.20404453 0. 0.14421065]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3050162 0.22588275 0.25949985 0.2096012 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10645827 0.08143831 0.15617022 0.6559332 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.77882664 0.09749481 0.12367855]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.30941163 0.23669332 0.45389505 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2493603 0.49144669 0.25919301]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.56657906 0.43342094 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32501873 0.37338979 0.30159149 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0927697 0.63893664 0.11251985 0.15577381]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.2074006 0.61446663 0.17813276]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25693468 0. 0.31163463 0.43143069]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44080719 0.55919281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37325335 0. 0. 0.62674665]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18443091 0.34998637 0.20750361 0.25807911]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58424469 0. 0.14992125 0.26583406]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17486739 0.15972052 0.66541209]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36059973 0.63940027]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.42913148 0.254428 0.31644052]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.57557349 0. 0.42442651]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5379576 0. 0.4620424]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.46537051 0.53462949 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10674592 0.50317227 0.24551145 0.14457036]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21485499 0. 0.49415811 0.2909869 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.42474733 0. 0. 0.57525267]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58590522 0. 0.41409478]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.49033267 0. 0.50966733]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52263511 0.47736489 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 47, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15063748 0.10297032 0.11278538 0.12607588 0.50753093]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25842297 0.49833371 0.24324332]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10492292 0.07800766 0.15272974 0.66433968]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51512923 0. 0.48487077]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17828472 0.16164573 0.66006955]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12383643 0.0920694 0. 0.78409418]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81184495 0.08542205 0.102733 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57356687 0.42643313 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19671744 0.80328256]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1679292 0. 0.12573205 0.14054817 0.56579057]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33958487 0.11367074 0.46632211 0.08042227]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38674701 0. 0.28956546 0.32368752 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10214368 0.63808383 0.11621365 0.14355884]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21352661 0.6097886 0.17668479]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11070329 0.48715281 0.27719594 0.12494795]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18320453 0.3114755 0.50531997]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.17212014 0.70610453 0.12177533]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40968623 0.30018253 0.10381349 0.18631776]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.852907 0.147093]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37034956 0.62965044 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21586019 0. 0.54050397 0.24363584]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28539189 0. 0.71460811 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.7753455 0.2246545]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28223021 0. 0.32110655 0.39666323]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17109248 0.33289447 0.23512719 0.26088586]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50349658 0.36891862 0.1275848 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.74303339 0.25696661 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.40160629 0.28365913 0.31473458]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.47403428 0.52596572]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46778222 0. 0.53221778 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45399819 0.54600181]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57184663 0. 0.42815337 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15063748 0.10297032 0.11278538 0.12607588 0.50753093]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33958487 0.11367074 0.46632211 0.08042227]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18320453 0.3114755 0.50531997]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11070329 0.48715281 0.27719594 0.12494795]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2660828 0. 0.7339172]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63631055 0.21299504 0. 0.15069441]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30588211 0.20908993 0.22902024 0.25600772 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10214368 0.63808383 0.11621365 0.14355884]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21352661 0.6097886 0.17668479]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28223021 0. 0.32110655 0.39666323]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81184495 0.08542205 0.102733 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10492292 0.07800766 0.15272974 0.66433968]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45399819 0.54600181]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17109248 0.33289447 0.23512719 0.26088586]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54720752 0. 0.45279248]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21586019 0. 0.54050397 0.24363584]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25646989 0. 0.35245876 0.39107135]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41572093 0. 0. 0.58427907]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41113613 0.28103777 0.3078261 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46977597 0. 0. 0.53022403]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58565086 0. 0.41434914]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40968623 0.30018253 0.10381349 0.18631776]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17828472 0.16164573 0.66006955]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31258661 0.2324006 0.45501279 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25842297 0.49833371 0.24324332]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19671744 0.80328256]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50851351 0.17586154 0.31562495]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59397809 0.40602191 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34148753 0.65851247 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57356687 0.42643313 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39606727 0. 0. 0.60393273]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.74303339 0.25696661 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15063748 0.10297032 0.11278538 0.12607588 0.50753093]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10492292 0.07800766 0.15272974 0.66433968]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81184495 0.08542205 0.102733 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31258661 0.2324006 0.45501279 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.12123248 0.13278827 0.14843589 0.59754336]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33958487 0.11367074 0.46632211 0.08042227]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18320453 0.3114755 0.50531997]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63631055 0.21299504 0. 0.15069441]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.30123115 0.3299443 0.36882455 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11070329 0.48715281 0.27719594 0.12494795]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58565086 0. 0.41434914]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40968623 0.30018253 0.10381349 0.18631776]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37034956 0.62965044 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12651052 0.55671296 0.31677652 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.44956136 0. 0.55043864 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25842297 0.49833371 0.24324332]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17828472 0.16164573 0.66006955]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58541869 0. 0.14834366 0.26623765]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17109248 0.33289447 0.23512719 0.26088586]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21352661 0.6097886 0.17668479]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25646989 0. 0.35245876 0.39107135]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68738841 0. 0. 0.31261159]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52447411 0.47552589 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.33807983 0.66192017 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34148753 0.65851247 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10214368 0.63808383 0.11621365 0.14355884]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.47403428 0.52596572]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11926526 0.74504106 0.13569368 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.25934977 0.74065023 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.63734364 0.36265636 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46778222 0. 0.53221778 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45399819 0.54600181]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15063748 0.10297032 0.11278538 0.12607588 0.50753093]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33958487 0.11367074 0.46632211 0.08042227]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18320453 0.3114755 0.50531997]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63631055 0.21299504 0. 0.15069441]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30588211 0.20908993 0.22902024 0.25600772 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11070329 0.48715281 0.27719594 0.12494795]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21352661 0.6097886 0.17668479]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10214368 0.63808383 0.11621365 0.14355884]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81184495 0.08542205 0.102733 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10492292 0.07800766 0.15272974 0.66433968]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45399819 0.54600181]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17109248 0.33289447 0.23512719 0.26088586]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54720752 0. 0.45279248]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25646989 0. 0.35245876 0.39107135]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11557508 0.72198879 0. 0.16243613]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1531581 0.67397631 0. 0.17286559]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37034956 0.62965044 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40968623 0.30018253 0.10381349 0.18631776]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.46977597 0. 0. 0.53022403]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58565086 0. 0.41434914]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58541869 0. 0.14834366 0.26623765]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17828472 0.16164573 0.66006955]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.35781561 0.64218439]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39674467 0.27120029 0. 0.33205505 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.31258661 0.2324006 0.45501279 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25842297 0.49833371 0.24324332]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57356687 0.42643313 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.44956136 0. 0.55043864 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51512923 0. 0.48487077]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41572093 0. 0. 0.58427907]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39606727 0. 0. 0.60393273]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52447411 0.47552589 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15063748 0.10297032 0.11278538 0.12607588 0.50753093]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33958487 0.11367074 0.46632211 0.08042227]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40968623 0.30018253 0.10381349 0.18631776]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38313625 0. 0.52612741 0.09073634]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18320453 0.3114755 0.50531997]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11070329 0.48715281 0.27719594 0.12494795]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21352661 0.6097886 0.17668479]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10214368 0.63808383 0.11621365 0.14355884]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.54720752 0. 0.45279248]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1531581 0.67397631 0. 0.17286559]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80852165 0. 0. 0.19147835]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30588211 0.20908993 0.22902024 0.25600772 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18516712 0.81483288 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2660828 0. 0.7339172]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39674467 0.27120029 0. 0.33205505 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.28223021 0. 0.32110655 0.39666323]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17109248 0.33289447 0.23512719 0.26088586]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46778222 0. 0.53221778 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81184495 0.08542205 0.102733 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10492292 0.07800766 0.15272974 0.66433968]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25842297 0.49833371 0.24324332]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17828472 0.16164573 0.66006955]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.50349658 0.36891862 0.1275848 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.79783146 0. 0.20216854 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52447411 0.47552589 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34148753 0.65851247 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12383643 0.0920694 0. 0.78409418]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45399819 0.54600181]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23148317 0.45039656 0.31812027 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59397809 0.40602191 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57356687 0.42643313 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.339478 0.660522 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
Iteration 48, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16505951 0.13086149 0.11811258 0.10514872 0.4808177 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35247749 0.12281287 0.44469226 0.08001739]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12098481 0.4891289 0.27116503 0.11872126]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1989441 0.32207206 0.47898384]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38313494 0.13349477 0.48337028 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41141739 0.29792139 0.1036014 0.18705983]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18959112 0.16066517 0.64974371]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11515242 0.07026265 0.13043366 0.68415127]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79810184 0.084528 0.11737017]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36458092 0.22245664 0.41296244 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31885269 0.47282134 0.20832597]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31792207 0.25205306 0.22749732 0.20252755 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09502332 0.64251382 0.11018239 0.15228046]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4186665 0.5813335]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10678966 0.72207362 0. 0.17113672]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15659304 0.35780606 0.23667209 0.2489288 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1288387 0.8711613 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20689676 0.62469833 0.16840491]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20849294 0.47639433 0.31511273 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.5061675 0.17601845 0.31781406]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.60188261 0.39811739 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24879507 0.75120493 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39866213 0.31606491 0.28527296 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62105212 0.37894788 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52560287 0.47439713 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23682061 0. 0.53078953 0.23238985]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50472151 0. 0. 0.49527849]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.44216115 0. 0.55783885 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38183864 0.61816136 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69415431 0.30584569]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19825198 0.80174802]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.6142947 0. 0.3857053]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16505951 0.13086149 0.11811258 0.10514872 0.4808177 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09502332 0.64251382 0.11018239 0.15228046]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15659304 0.35780606 0.23667209 0.2489288 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41141739 0.29792139 0.1036014 0.18705983]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18959112 0.16066517 0.64974371]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31885269 0.47282134 0.20832597]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18445468 0.14623825 0.1319913 0. 0.53731576]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69415431 0.30584569]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22588258 0. 0.77411742]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.5061675 0.17601845 0.31781406]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35247749 0.12281287 0.44469226 0.08001739]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21604937 0. 0.15459969 0. 0.62935094]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11515242 0.07026265 0.13043366 0.68415127]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.1972059 0. 0.8027941]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.18966579 0.68675953 0.12357468]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1989441 0.32207206 0.47898384]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.74197878 0.25802122 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.40205941 0.59794059]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.6054958 0. 0.3945042]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12098481 0.4891289 0.27116503 0.11872126]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20689676 0.62469833 0.16840491]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.42423892 0.28061435 0.29514673]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11209288 0.75793207 0.12997506 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24879507 0.75120493 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46306372 0. 0.53693628 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16599753 0.67111064 0. 0.16289183]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.60188261 0.39811739 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.19829879 0.80170121 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79810184 0.084528 0.11737017]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90423165 0.09576835 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.0794065 0.14740806 0.77318544]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.09313541 0. 0.90686459]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16505951 0.13086149 0.11811258 0.10514872 0.4808177 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35247749 0.12281287 0.44469226 0.08001739]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12098481 0.4891289 0.27116503 0.11872126]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1989441 0.32207206 0.47898384]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38313494 0.13349477 0.48337028 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38183864 0.61816136 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41141739 0.29792139 0.1036014 0.18705983]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.23682061 0. 0.53078953 0.23238985]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20689676 0.62469833 0.16840491]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09502332 0.64251382 0.11018239 0.15228046]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15659304 0.35780606 0.23667209 0.2489288 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55128121 0. 0.44871879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24384074 0. 0.36853679 0.38762247]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58599904 0. 0.14756381 0.26643715]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18959112 0.16066517 0.64974371]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11515242 0.07026265 0.13043366 0.68415127]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79810184 0.084528 0.11737017]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36458092 0.22245664 0.41296244 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19825198 0.80174802]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3564335 0.6435665]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.48737985 0.51262015]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11209288 0.75793207 0.12997506 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50472151 0. 0. 0.49527849]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.74160454 0.25839546 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31792207 0.25205306 0.22749732 0.20252755 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46306372 0. 0.53693628 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39866213 0.31606491 0.28527296 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31885269 0.47282134 0.20832597]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.40275755 0.59724245 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58289469 0. 0.41710531 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.46888822 0. 0.53111178 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4186665 0.5813335]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16505951 0.13086149 0.11811258 0.10514872 0.4808177 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09502332 0.64251382 0.11018239 0.15228046]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20689676 0.62469833 0.16840491]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26580978 0. 0.30821441 0.42597581]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79810184 0.084528 0.11737017]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15659304 0.35780606 0.23667209 0.2489288 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.38423724 0. 0. 0.61576276]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18445468 0.14623825 0.1319913 0. 0.53731576]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35247749 0.12281287 0.44469226 0.08001739]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1989441 0.32207206 0.47898384]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63474261 0.22116182 0. 0.14409558]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39866213 0.31606491 0.28527296 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12098481 0.4891289 0.27116503 0.11872126]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55128121 0. 0.44871879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20849294 0.47639433 0.31511273 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90423165 0.09576835 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.30441936 0.69558064 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.16599753 0.67111064 0. 0.16289183]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38183864 0.61816136 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41141739 0.29792139 0.1036014 0.18705983]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18959112 0.16066517 0.64974371]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.5061675 0.17601845 0.31781406]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50472151 0. 0. 0.49527849]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55778235 0.44221765 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31885269 0.47282134 0.20832597]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54129256 0.45870744 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.40275755 0.59724245 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11515242 0.07026265 0.13043366 0.68415127]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36458092 0.22245664 0.41296244 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62105212 0.37894788 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.6054958 0. 0.3945042]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.3564335 0.6435665]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16505951 0.13086149 0.11811258 0.10514872 0.4808177 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35247749 0.12281287 0.44469226 0.08001739]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1989441 0.32207206 0.47898384]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12098481 0.4891289 0.27116503 0.11872126]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63474261 0.22116182 0. 0.14409558]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31792207 0.25205306 0.22749732 0.20252755 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.13728325 0.55502179 0.30769497 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29345907 0. 0.70654093]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.6054958 0. 0.3945042]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41141739 0.29792139 0.1036014 0.18705983]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18959112 0.16066517 0.64974371]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.5061675 0.17601845 0.31781406]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30851678 0. 0.69148322 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20689676 0.62469833 0.16840491]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09502332 0.64251382 0.11018239 0.15228046]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41154818 0.32628115 0. 0.26217067 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.70997832 0.12175164 0.16827004]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55128121 0. 0.44871879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.15659304 0.35780606 0.23667209 0.2489288 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55778235 0.44221765 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11515242 0.07026265 0.13043366 0.68415127]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.79810184 0.084528 0.11737017]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.41980185 0.58019815]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24384074 0. 0.36853679 0.38762247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87179273 0. 0.12820727]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36458092 0.22245664 0.41296244 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54129256 0.45870744 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.31885269 0.47282134 0.20832597]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.46888822 0. 0.53111178 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.60482852 0. 0.39517148]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38615193 0. 0. 0.61384807]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.74197878 0.25802122 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
Iteration 49, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16071179 0.10952857 0.10693346 0.12223936 0.50058682]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35301251 0.11425954 0.45406943 0.07865852]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22235931 0.36691551 0.41072519]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0907183 0.56882643 0.24858363 0.09187164]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22523947 0.60318207 0.17157846]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1569513 0.34623572 0.23044199 0.266371 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285765 0.09033258 0.10680977]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1182038 0.07159503 0.13770668 0.67249449]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29546781 0.48755441 0.21697778]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18585695 0.16209255 0.6520505 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.37734282 0.62265718 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.13708073 0.08302863 0. 0.77989064]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45820992 0.54179008]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20394993 0.44991503 0. 0.34613504]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27188993 0.72811007 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10011085 0.60223509 0.10094921 0.19670485]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12072974 0.75700564 0. 0.12226462]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35123164 0. 0.64876836]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41289507 0.27114926 0.1102385 0.20571717]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64662528 0.20929317 0. 0.14408154]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51983381 0.34137621 0.13878998 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37076077 0. 0. 0.62923923]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60360864 0.39639136 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81778133 0. 0. 0.18221867]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32180126 0.21931453 0.21411822 0.24476598 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49684172 0. 0. 0.50315828]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40947795 0.2790681 0. 0.31145395 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56798423 0. 0. 0.43201577 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62278465 0.37721535 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25168347 0. 0.25379113 0.4945254 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.33728287 0. 0. 0.66271713]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22181084 0. 0.77818916]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16071179 0.10952857 0.10693346 0.12223936 0.50058682]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1182038 0.07159503 0.13770668 0.67249449]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285765 0.09033258 0.10680977]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36092155 0.21860711 0.42047134 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.13050174 0.12740971 0.14564646 0.59644209]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35301251 0.11425954 0.45406943 0.07865852]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0907183 0.56882643 0.24858363 0.09187164]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22235931 0.36691551 0.41072519]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21039857 0. 0.57652798 0.21307345]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22523947 0.60318207 0.17157846]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10011085 0.60223509 0.10094921 0.19670485]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.32337797 0.31571604 0.36090598 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.66923253 0.1121796 0.21858787]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56761415 0. 0.43238585]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49684172 0. 0. 0.50315828]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38315057 0.12401432 0.49283511 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.50599437 0.49400563 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29546781 0.48755441 0.21697778]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34206615 0.65793385 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18585695 0.16209255 0.6520505 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41289507 0.27114926 0.1102385 0.20571717]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53414922 0.46585078 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57658377 0. 0.42341623]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.20104473 0.79895527 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35123164 0. 0.64876836]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.46184122 0.18776627 0.35039251]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.71095428 0.28904572 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1569513 0.34623572 0.23044199 0.266371 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24007323 0. 0.35248482 0.40744195]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46384051 0.53615949]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.33914944 0.66085056]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45820992 0.54179008]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16071179 0.10952857 0.10693346 0.12223936 0.50058682]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35301251 0.11425954 0.45406943 0.07865852]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22235931 0.36691551 0.41072519]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41289507 0.27114926 0.1102385 0.20571717]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64662528 0.20929317 0. 0.14408154]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32180126 0.21931453 0.21411822 0.24476598 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10011085 0.60223509 0.10094921 0.19670485]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42609476 0.29039282 0.28351242 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0907183 0.56882643 0.24858363 0.09187164]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22523947 0.60318207 0.17157846]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.66923253 0.1121796 0.21858787]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56761415 0. 0.43238585]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1569513 0.34623572 0.23044199 0.266371 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285765 0.09033258 0.10680977]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20394993 0.44991503 0. 0.34613504]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.33914944 0.66085056]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.31191445 0.68808555 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12072974 0.75700564 0. 0.12226462]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.47183167 0.52816833]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49684172 0. 0. 0.50315828]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.5922698 0. 0.4077302]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59469944 0.40530056 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1182038 0.07159503 0.13770668 0.67249449]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89886524 0.10113476 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36092155 0.21860711 0.42047134 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29546781 0.48755441 0.21697778]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34206615 0.65793385 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18585695 0.16209255 0.6520505 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69202574 0.30797426]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19909591 0.80090409]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51983381 0.34137621 0.13878998 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.78927275 0. 0.21072725 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16071179 0.10952857 0.10693346 0.12223936 0.50058682]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35301251 0.11425954 0.45406943 0.07865852]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41289507 0.27114926 0.1102385 0.20571717]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22235931 0.36691551 0.41072519]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.39855074 0. 0.51264388 0.08880538]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37734398 0.62265602 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0907183 0.56882643 0.24858363 0.09187164]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32180126 0.21931453 0.21411822 0.24476598 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10011085 0.60223509 0.10094921 0.19670485]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285765 0.09033258 0.10680977]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1569513 0.34623572 0.23044199 0.266371 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22523947 0.60318207 0.17157846]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11135172 0.66985658 0. 0.2187917 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56761415 0. 0.43238585]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24007323 0. 0.35248482 0.40744195]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.56650154 0. 0.15124976 0.2822487 ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18585695 0.16209255 0.6520505 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34890496 0.65109504]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46384051 0.53615949]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.33728287 0. 0. 0.66271713]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42609476 0.29039282 0.28351242 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.62557779 0.27338461 0.1010376 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.81778133 0. 0. 0.18221867]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59469944 0.40530056 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29546781 0.48755441 0.21697778]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1182038 0.07159503 0.13770668 0.67249449]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89886524 0.10113476 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36092155 0.21860711 0.42047134 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53414922 0.46585078 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.46189511 0. 0.53810489 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57658377 0. 0.42341623]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.73015063 0.26984937]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16071179 0.10952857 0.10693346 0.12223936 0.50058682]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10011085 0.60223509 0.10094921 0.19670485]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1569513 0.34623572 0.23044199 0.266371 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22523947 0.60318207 0.17157846]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0907183 0.56882643 0.24858363 0.09187164]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22235931 0.36691551 0.41072519]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21039857 0. 0.57652798 0.21307345]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.77854001 0.22145999]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12462524 0.74970587 0.12566888 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24007323 0. 0.35248482 0.40744195]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.80285765 0.09033258 0.10680977]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.1182038 0.07159503 0.13770668 0.67249449]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45820992 0.54179008]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.49791517 0. 0.50208483 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37076077 0. 0. 0.62923923]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41289507 0.27114926 0.1102385 0.20571717]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35301251 0.11425954 0.45406943 0.07865852]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35123164 0. 0.64876836]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51983381 0.34137621 0.13878998 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18309296 0.12478182 0.12182531 0. 0.57029991]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.64662528 0.20929317 0. 0.14408154]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49684172 0. 0. 0.50315828]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.75547534 0.24452466 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42609476 0.29039282 0.28351242 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59469944 0.40530056 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29546781 0.48755441 0.21697778]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.36092155 0.21860711 0.42047134 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.18585695 0.16209255 0.6520505 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.57658377 0. 0.42341623]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.22181084 0. 0.77818916]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.60360864 0.39639136 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.46189511 0. 0.53810489 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
Iteration 50, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16876652 0.1209926 0.09016913 0.09758599 0.52248576]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1037728 0.59657034 0.1150839 0.18457295]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21569649 0.61638139 0.16792213]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25722651 0. 0.28526386 0.45750963]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82307967 0.07806354 0.0988568 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35989017 0. 0. 0.64010983]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18701673 0.1340766 0.09991991 0. 0.57898675]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33532838 0.11512631 0.46909112 0.08045419]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19312149 0.34960485 0.45727366]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09440083 0.55814766 0.2426496 0.10480192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56226805 0. 0.43773195]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12464617 0.73697413 0. 0.13837969]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29692947 0. 0.70307053]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63161192 0.21684759 0. 0.15154049]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44420629 0.31846172 0.23733199 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47389321 0. 0. 0.52610679]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58243729 0.41756271 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09048469 0.05450132 0.11670618 0.73830781]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89277266 0. 0.10722734]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34576762 0.208265 0.44596738 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2824572 0.49713238 0.22041042]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62409253 0.37590747 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17345655 0.15365107 0.67289238]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39738273 0.27181953 0.12524335 0.20555439]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53027365 0.46972635 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56169295 0. 0.43830705]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58863899 0. 0.41136101]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.45106496 0.20783232 0.34110272]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37861004 0.62138996]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16892356 0.33304579 0.23181094 0.26621971]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25327609 0. 0.3475665 0.39915741]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42153485 0. 0.57846515 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16876652 0.1209926 0.09016913 0.09758599 0.52248576]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33532838 0.11512631 0.46909112 0.08045419]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19312149 0.34960485 0.45727366]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39738273 0.27181953 0.12524335 0.20555439]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17345655 0.15365107 0.67289238]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.45106496 0.20783232 0.34110272]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63161192 0.21684759 0. 0.15154049]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35342719 0.25338009 0.18883024 0.20436247 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09440083 0.55814766 0.2426496 0.10480192]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.43570065 0.31236383 0. 0.25193552 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1037728 0.59657034 0.1150839 0.18457295]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21569649 0.61638139 0.16792213]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25722651 0. 0.28526386 0.45750963]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82307967 0.07806354 0.0988568 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09048469 0.05450132 0.11670618 0.73830781]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58243729 0.41756271 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2824572 0.49713238 0.22041042]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53027365 0.46972635 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.36231525 0.63768475 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.05992348 0.1283169 0.81175962]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44123553 0.55876447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35989017 0. 0. 0.64010983]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16892356 0.33304579 0.23181094 0.26621971]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.68457554 0.31542446 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43328066 0.56671934]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58863899 0. 0.41136101]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.40074026 0.27892854 0.3203312 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56226805 0. 0.43773195]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46545517 0.53454483]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.3183349 0.6816651 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.61632969 0.2679437 0.1157266 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69836966 0.30163034]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16876652 0.1209926 0.09016913 0.09758599 0.52248576]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33532838 0.11512631 0.46909112 0.08045419]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19312149 0.34960485 0.45727366]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63161192 0.21684759 0. 0.15154049]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39738273 0.27181953 0.12524335 0.20555439]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35583585 0.64416415 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09440083 0.55814766 0.2426496 0.10480192]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.80649936 0. 0. 0.19350064]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35342719 0.25338009 0.18883024 0.20436247 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2824572 0.49713238 0.22041042]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09048469 0.05450132 0.11670618 0.73830781]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17345655 0.15365107 0.67289238]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.54572011 0. 0.17199493 0.28228496]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53027365 0.46972635 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09570049 0. 0.12343347 0.78086604]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82307967 0.07806354 0.0988568 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.4367214 0. 0.5632786 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.47336964 0. 0.25291348 0.27371688 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56169295 0. 0.43830705]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.48024857 0.51975143 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1037728 0.59657034 0.1150839 0.18457295]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44123553 0.55876447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11726852 0.67415469 0. 0.20857678]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10545245 0.62349068 0.27105688 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37861004 0.62138996]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28007925 0. 0.71992075 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.76371435 0. 0.23628565]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21569649 0.61638139 0.16792213]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16892356 0.33304579 0.23181094 0.26621971]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56226805 0. 0.43773195]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25327609 0. 0.3475665 0.39915741]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42153485 0. 0.57846515 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16876652 0.1209926 0.09016913 0.09758599 0.52248576]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09048469 0.05450132 0.11670618 0.73830781]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82307967 0.07806354 0.0988568 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34576762 0.208265 0.44596738 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2824572 0.49713238 0.22041042]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.62409253 0.37590747 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17345655 0.15365107 0.67289238]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39738273 0.27181953 0.12524335 0.20555439]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19312149 0.34960485 0.45727366]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33532838 0.11512631 0.46909112 0.08045419]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35583585 0.64416415 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.54572011 0. 0.17199493 0.28228496]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53027365 0.46972635 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.1455579 0.1084763 0.11739902 0.62856678]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63161192 0.21684759 0. 0.15154049]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.39188176 0.29204792 0.31607032 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1037728 0.59657034 0.1150839 0.18457295]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21569649 0.61638139 0.16792213]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25722651 0. 0.28526386 0.45750963]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.57298546 0.42701454 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09440083 0.55814766 0.2426496 0.10480192]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.56226805 0. 0.43773195]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12464617 0.73697413 0. 0.13837969]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.47389321 0. 0. 0.52610679]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56169295 0. 0.43830705]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.38405229 0.61594771]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44123553 0.55876447]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16892356 0.33304579 0.23181094 0.26621971]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25327609 0. 0.3475665 0.39915741]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37861004 0.62138996]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.58863899 0. 0.41136101]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46545517 0.53454483]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16876652 0.1209926 0.09016913 0.09758599 0.52248576]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.1037728 0.59657034 0.1150839 0.18457295]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16892356 0.33304579 0.23181094 0.26621971]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21569649 0.61638139 0.16792213]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09440083 0.55814766 0.2426496 0.10480192]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19312149 0.34960485 0.45727366]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33532838 0.11512631 0.46909112 0.08045419]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35583585 0.64416415 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39738273 0.27181953 0.12524335 0.20555439]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17345655 0.15365107 0.67289238]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.45106496 0.20783232 0.34110272]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25327609 0. 0.3475665 0.39915741]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.82307967 0.07806354 0.0988568 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09048469 0.05450132 0.11670618 0.73830781]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18701673 0.1340766 0.09991991 0. 0.57898675]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63161192 0.21684759 0. 0.15154049]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21364791 0. 0.54916444 0.23718765]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.44420629 0.31846172 0.23733199 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.69836966 0.30163034]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.7858965 0.2141035]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.12726191 0.7316048 0.14113329 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58243729 0.41756271 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.05992348 0.1283169 0.81175962]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44123553 0.55876447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.83828678 0.16171322 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.38820216 0. 0. 0.61179784]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.56940591 0. 0.43059409]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.744422 0.255578 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2824572 0.49713238 0.22041042]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.3183349 0.6816651 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56169295 0. 0.43830705]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53027365 0.46972635 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
Iteration 51, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16078323 0.1085986 0.11080074 0.1079314 0.51188603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32515701 0.1130305 0.48441685 0.07739564]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20070706 0.35327695 0.44601599]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63065872 0.21922845 0. 0.15011283]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07907137 0.60826978 0.19598717 0.11667168]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36229757 0.63770243 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2018516 0. 0.50031159 0.29783681]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.74204994 0.25795006 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3293969 0.22248615 0.22699768 0.22111927 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2756205 0.50081019 0.22356931]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42365406 0. 0.29195323 0.28439271 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09399304 0.05819561 0.1206472 0.72716415]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69136438 0.30863562]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10688888 0.06618005 0. 0.82693107]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50655901 0.49344099 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08932933 0.60970506 0.13327553 0.16769008]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21007977 0.58207573 0.2078445 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22887647 0. 0.34147388 0.42964965]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1699714 0.33409024 0.22327857 0.27265979]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50267426 0. 0.49732574]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2552469 0. 0.33529854 0.40945456]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40129102 0. 0.59870898 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81115604 0.09303068 0.09581328]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.07410057 0. 0.92589943]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49263254 0.50736746]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43222228 0. 0.56777772 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28747107 0. 0.71252893 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17740096 0.15836141 0.66423763]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3956043 0.31426011 0.09885922 0.19127637]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52835273 0.47164727 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51995755 0.16356705 0.3164754 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.76070056 0.23929944 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16078323 0.1085986 0.11080074 0.1079314 0.51188603]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2756205 0.50081019 0.22356931]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1803713 0. 0.12429949 0.12108059 0.57424862]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07907137 0.60826978 0.19598717 0.11667168]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20070706 0.35327695 0.44601599]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3956043 0.31426011 0.09885922 0.19127637]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17740096 0.15836141 0.66423763]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51995755 0.16356705 0.3164754 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32515701 0.1130305 0.48441685 0.07739564]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.44198683 0.55801317]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2018516 0. 0.50031159 0.29783681]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20597373 0. 0. 0.13826712 0.65575915]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09399304 0.05819561 0.1206472 0.72716415]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81115604 0.09303068 0.09581328]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34450399 0.21329898 0.44219703 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52835273 0.47164727 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43790968 0. 0.56209032 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69136438 0.30863562]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0.17413419 0.82586581]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63065872 0.21922845 0. 0.15011283]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.62684031 0.37315969]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21007977 0.58207573 0.2078445 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08932933 0.60970506 0.13327553 0.16769008]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50267426 0. 0.49732574]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1699714 0.33409024 0.22327857 0.27265979]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.74204994 0.25795006 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22887647 0. 0.34147388 0.42964965]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49263254 0.50736746]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.34755868 0. 0. 0.65244132]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.2552469 0. 0.33529854 0.40945456]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.76070056 0.23929944 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43222228 0. 0.56777772 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16078323 0.1085986 0.11080074 0.1079314 0.51188603]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32515701 0.1130305 0.48441685 0.07739564]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3293969 0.22248615 0.22699768 0.22111927 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09399304 0.05819561 0.1206472 0.72716415]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81115604 0.09303068 0.09581328]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34450399 0.21329898 0.44219703 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17740096 0.15836141 0.66423763]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3956043 0.31426011 0.09885922 0.19127637]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.16749154 0.71782156 0.11468689]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20070706 0.35327695 0.44601599]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07907137 0.60826978 0.19598717 0.11667168]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.59356607 0. 0.40643393]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.48917119 0.38858776 0.12224105 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52835273 0.47164727 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.43790968 0. 0.56209032 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2756205 0.50081019 0.22356931]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35498403 0.64501597 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.33177024 0.33849781 0.32973195 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08932933 0.60970506 0.13327553 0.16769008]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21007977 0.58207573 0.2078445 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22887647 0. 0.34147388 0.42964965]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1699714 0.33409024 0.22327857 0.27265979]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49263254 0.50736746]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40129102 0. 0.59870898 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21883187 0.43012878 0. 0.35103936]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.49498144 0.50501856 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08951527 0.68861121 0.22187353 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31034469 0. 0.68965531]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28747107 0. 0.71252893 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50267426 0. 0.49732574]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3372036 0.6627964 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.76070056 0.23929944 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16078323 0.1085986 0.11080074 0.1079314 0.51188603]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2756205 0.50081019 0.22356931]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1803713 0. 0.12429949 0.12108059 0.57424862]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32515701 0.1130305 0.48441685 0.07739564]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20070706 0.35327695 0.44601599]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63065872 0.21922845 0. 0.15011283]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42365406 0. 0.29195323 0.28439271 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07907137 0.60826978 0.19598717 0.11667168]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36229757 0.63770243 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2018516 0. 0.50031159 0.29783681]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21007977 0.58207573 0.2078445 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08932933 0.60970506 0.13327553 0.16769008]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.50267426 0. 0.49732574]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1699714 0.33409024 0.22327857 0.27265979]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81115604 0.09303068 0.09581328]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09399304 0.05819561 0.1206472 0.72716415]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49263254 0.50736746]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21883187 0.43012878 0. 0.35103936]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3956043 0.31426011 0.09885922 0.19127637]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17740096 0.15836141 0.66423763]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.51995755 0.16356705 0.3164754 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.34073456 0.65926544]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.55062253 0. 0.44937747]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22887647 0. 0.34147388 0.42964965]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.34755868 0. 0. 0.65244132]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.40395494 0. 0. 0.59604506]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.59356607 0. 0.40643393]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59834192 0. 0. 0.40165808 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34450399 0.21329898 0.44219703 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.32540089 0.67459911 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.69136438 0.30863562]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52835273 0.47164727 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16078323 0.1085986 0.11080074 0.1079314 0.51188603]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08932933 0.60970506 0.13327553 0.16769008]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21007977 0.58207573 0.2078445 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07907137 0.60826978 0.19598717 0.11667168]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20070706 0.35327695 0.44601599]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.32515701 0.1130305 0.48441685 0.07739564]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36229757 0.63770243 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2018516 0. 0.50031159 0.29783681]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.73687913 0.26312087]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.1699714 0.33409024 0.22327857 0.27265979]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.3956043 0.31426011 0.09885922 0.19127637]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63065872 0.21922845 0. 0.15011283]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1802364 0.12173795 0.12420652 0. 0.57381913]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09399304 0.05819561 0.1206472 0.72716415]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81115604 0.09303068 0.09581328]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34450399 0.21329898 0.44219703 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14850372 0.15151505 0. 0.69998123]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.2756205 0.50081019 0.22356931]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17740096 0.15836141 0.66423763]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.48917119 0.38858776 0.12224105 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52835273 0.47164727 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.35498403 0.64501597 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.32540089 0.67459911 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.17793977 0. 0.82206023]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.59356607 0. 0.40643393]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.40395494 0. 0. 0.59604506]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.76070056 0.23929944 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.40250449 0.26900106 0.32849445]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49263254 0.50736746]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22887647 0. 0.34147388 0.42964965]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.55062253 0. 0.44937747]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.34755868 0. 0. 0.65244132]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
Iteration 52, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17462399 0.1244038 0.10933656 0.11687999 0.47475566]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33266613 0.11800837 0.47247829 0.07684721]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39012045 0.32028199 0.10621808 0.18337948]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18012575 0.32628681 0.22478144 0.26880599]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179149 0.60481068 0.14404642 0.15935141]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21656431 0.58909515 0.19434053]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2322722 0. 0.36449977 0.40322803]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81003045 0.08317495 0.1067946 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36549507 0. 0. 0.63450493]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24634468 0.44623836 0.30741696 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.43648282 0.35834467 0. 0.2051725 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19929167 0.34987779 0.45083054]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68024499 0. 0. 0.31975501]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37717607 0. 0.53569475 0.08712918]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33246239 0.23684939 0.20816323 0.22252498 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42761811 0.30463923 0.26774267 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23527591 0.47863797 0.28608612]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09923017 0.06194014 0.1354479 0.70338179]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61495863 0. 0.38504137 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.06876356 0.15036904 0.7808674 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88351693 0. 0.11648307]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.31379886 0.68620114 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1789761 0.15985357 0.66117033]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [1. 0. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5282185 0.4717815 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.45127166 0. 0.54872834]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08466513 0.60244358 0.20552089 0.1073704 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.43696035 0.56303965]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.86010624 0.13989376]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2129638 0. 0.51696031 0.27007588]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52704249 0. 0.47295751]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.59209873 0.40790127 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44088262 0. 0. 0.55911738]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17462399 0.1244038 0.10933656 0.11687999 0.47475566]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179149 0.60481068 0.14404642 0.15935141]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21656431 0.58909515 0.19434053]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2322722 0. 0.36449977 0.40322803]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81003045 0.08317495 0.1067946 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09923017 0.06194014 0.1354479 0.70338179]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.43783305 0.56216695]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18012575 0.32628681 0.22478144 0.26880599]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52704249 0. 0.47295751]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08466513 0.60244358 0.20552089 0.1073704 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19929167 0.34987779 0.45083054]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2129638 0. 0.51696031 0.27007588]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19773529 0.14086851 0.12380714 0. 0.53758907]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33266613 0.11800837 0.47247829 0.07684721]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654493 0. 0.69345507]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63062074 0.22370334 0. 0.14567592]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42761811 0.30463923 0.26774267 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33453837 0.2088211 0.45664053 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.53223072 0.46776928 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.65684439 0.34315561]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26736266 0. 0.3336456 0.39899173]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39012045 0.32028199 0.10621808 0.18337948]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1789761 0.15985357 0.66117033]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.52515614 0.17416239 0.30068146]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.45540349 0.54459651]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.36549507 0. 0. 0.63450493]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23527591 0.47863797 0.28608612]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5282185 0.4717815 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.31379886 0.68620114 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32955783 0.67044217 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.63590728 0. 0.36409272]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60561965 0. 0.39438035]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17462399 0.1244038 0.10933656 0.11687999 0.47475566]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33266613 0.11800837 0.47247829 0.07684721]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19929167 0.34987779 0.45083054]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08466513 0.60244358 0.20552089 0.1073704 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654493 0. 0.69345507]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63062074 0.22370334 0. 0.14567592]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33246239 0.23684939 0.20816323 0.22252498 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09923017 0.06194014 0.1354479 0.70338179]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81003045 0.08317495 0.1067946 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33453837 0.2088211 0.45664053 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35481055 0.31183746 0.33335198 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23527591 0.47863797 0.28608612]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.31379886 0.68620114 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.45127166 0. 0.54872834]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1789761 0.15985357 0.66117033]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.48332698 0.51667302 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179149 0.60481068 0.14404642 0.15935141]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21656431 0.58909515 0.19434053]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2322722 0. 0.36449977 0.40322803]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2129638 0. 0.51696031 0.27007588]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60561965 0. 0.39438035]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39012045 0.32028199 0.10621808 0.18337948]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21302965 0. 0.78697035]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.52515614 0.17416239 0.30068146]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36677824 0.63322176]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29176157 0. 0.70823843 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52704249 0. 0.47295751]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.47477735 0.52522265]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.43783305 0.56216695]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18012575 0.32628681 0.22478144 0.26880599]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39797178 0.27416575 0.32786247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.54829568 0. 0.45170432]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17462399 0.1244038 0.10933656 0.11687999 0.47475566]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33266613 0.11800837 0.47247829 0.07684721]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33246239 0.23684939 0.20816323 0.22252498 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179149 0.60481068 0.14404642 0.15935141]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21656431 0.58909515 0.19434053]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.2322722 0. 0.36449977 0.40322803]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42761811 0.30463923 0.26774267 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23527591 0.47863797 0.28608612]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1789761 0.15985357 0.66117033]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09923017 0.06194014 0.1354479 0.70338179]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19470027 0.80529973]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39012045 0.32028199 0.10621808 0.18337948]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19929167 0.34987779 0.45083054]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.17683557 0.70800886 0.11515557]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.36289649 0.63710351 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08466513 0.60244358 0.20552089 0.1073704 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57394456 0. 0.15626786 0.26978758]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18012575 0.32628681 0.22478144 0.26880599]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.68024499 0. 0. 0.31975501]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.32955783 0.67044217 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.61495863 0. 0.38504137 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10578235 0. 0.14439153 0.74982613]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81003045 0.08317495 0.1067946 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42283531 0. 0.57716469 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.2129638 0. 0.51696031 0.27007588]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60561965 0. 0.39438035]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.29176157 0. 0.70823843 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52704249 0. 0.47295751]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39797178 0.27416575 0.32786247]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.43783305 0.56216695]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.54829568 0. 0.45170432]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.47477735 0.52522265]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17462399 0.1244038 0.10933656 0.11687999 0.47475566]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33266613 0.11800837 0.47247829 0.07684721]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19929167 0.34987779 0.45083054]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08466513 0.60244358 0.20552089 0.1073704 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33246239 0.23684939 0.20816323 0.22252498 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179149 0.60481068 0.14404642 0.15935141]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81003045 0.08317495 0.1067946 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09923017 0.06194014 0.1354479 0.70338179]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.43783305 0.56216695]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10723887 0.70659285 0. 0.18616828]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42761811 0.30463923 0.26774267 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.65816741 0.22453082 0.11730177]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63062074 0.22370334 0. 0.14567592]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58397245 0.41602755 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33453837 0.2088211 0.45664053 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23527591 0.47863797 0.28608612]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.74563128 0.25436872 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30654493 0. 0.69345507]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.39012045 0.32028199 0.10621808 0.18337948]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.60561965 0. 0.39438035]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57394456 0. 0.15626786 0.26978758]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1789761 0.15985357 0.66117033]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.36677824 0.63322176]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18012575 0.32628681 0.22478144 0.26880599]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21656431 0.58909515 0.19434053]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.75193811 0.24806189]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.26736266 0. 0.3336456 0.39899173]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.7914691 0. 0.2085309]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.44485688 0. 0.55514312 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.31379886 0.68620114 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.62589629 0.37410371]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.5282185 0.4717815 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
Iteration 53, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1567909 0.10528884 0.112937 0.12971045 0.49527281]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36416915 0.10385883 0.45674819 0.07522383]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31064484 0.20860545 0.2237585 0.25699121 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10900306 0.07234664 0.13898844 0.67966186]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.30260954 0.32459103 0.37279943 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24948802 0.49036802 0.26014396]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.0811974 0.15599205 0.76281054]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81535117 0.08711285 0.09753598]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16265801 0.31005344 0.2357057 0.29158284]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20603228 0.55474739 0.23922033]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08883255 0.53099163 0.24638681 0.13378901]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21904247 0.33851034 0.44244718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.16334348 0.71834858 0.11830794]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39286408 0.60713592 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18940505 0. 0.52533564 0.28525932]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.46543658 0.53456342 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.07989297 0.65144216 0.12478214 0.14388274]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.6987027 0.3012973]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22921008 0. 0.35799549 0.41279443]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.64808649 0.35191351]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23575451 0. 0.34162893 0.42261656]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90347222 0.09652778 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34233142 0.65766858 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17028484 0.15260497 0.67711018]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38666054 0.29822406 0.12366406 0.19145133]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.57994909 0. 0.42005091]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.47821555 0.36883873 0.15294573 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52737756 0.47262244 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.48954546 0. 0.51045454]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.46445274 0.53554726]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35808759 0. 0. 0.64191241]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.70687948 0.29312052 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1567909 0.10528884 0.112937 0.12971045 0.49527281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.07989297 0.65144216 0.12478214 0.14388274]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20603228 0.55474739 0.23922033]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22921008 0. 0.35799549 0.41279443]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81535117 0.08711285 0.09753598]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35702254 0. 0. 0.64297746]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16265801 0.31005344 0.2357057 0.29158284]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.46273121 0. 0.53726879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23575451 0. 0.34162893 0.42261656]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38666054 0.29822406 0.12366406 0.19145133]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17028484 0.15260497 0.67711018]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48623003 0.20162418 0.31214579]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21904247 0.33851034 0.44244718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36416915 0.10385883 0.45674819 0.07522383]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.39244057 0.60755943]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40637476 0. 0.50968329 0.08394195]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18015946 0.12098139 0.12976945 0. 0.56908969]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.85859438 0.14140562]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39286408 0.60713592 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.44701465 0.55298535]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41809039 0.28075771 0.30115189 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10900306 0.07234664 0.13898844 0.67966186]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.89315659 0. 0.10684341]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.340275 0.22584459 0.4338804 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.4824765 0.5175235 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24948802 0.49036802 0.26014396]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08883255 0.53099163 0.24638681 0.13378901]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18940505 0. 0.52533564 0.28525932]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.39902942 0. 0. 0.60097058]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.65337801 0.34662199]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34233142 0.65766858 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52737756 0.47262244 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1567909 0.10528884 0.112937 0.12971045 0.49527281]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10900306 0.07234664 0.13898844 0.67966186]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81535117 0.08711285 0.09753598]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.340275 0.22584459 0.4338804 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.12486682 0.13393712 0.15382952 0.58736654]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36416915 0.10385883 0.45674819 0.07522383]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.30260954 0.32459103 0.37279943 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08883255 0.53099163 0.24638681 0.13378901]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21904247 0.33851034 0.44244718]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18940505 0. 0.52533564 0.28525932]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20603228 0.55474739 0.23922033]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.07989297 0.65144216 0.12478214 0.14388274]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4717758 0.5282242]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09128352 0.74432 0. 0.16439648]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.46273121 0. 0.53726879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16265801 0.31005344 0.2357057 0.29158284]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.39902942 0. 0. 0.60097058]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.16334348 0.71834858 0.11830794]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38666054 0.29822406 0.12366406 0.19145133]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23575451 0. 0.34162893 0.42261656]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35702254 0. 0. 0.64297746]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.44803897 0. 0.55196103 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24948802 0.49036802 0.26014396]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17028484 0.15260497 0.67711018]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44122411 0.34030792 0. 0.21846797]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33113514 0. 0.66886486]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.66883342 0. 0. 0.33116658]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52737756 0.47262244 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33721157 0.66278843 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34233142 0.65766858 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.40831533 0. 0.59168467 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.85859438 0.14140562]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1567909 0.10528884 0.112937 0.12971045 0.49527281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.07989297 0.65144216 0.12478214 0.14388274]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81535117 0.08711285 0.09753598]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10900306 0.07234664 0.13898844 0.67966186]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4717758 0.5282242]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09128352 0.74432 0. 0.16439648]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16265801 0.31005344 0.2357057 0.29158284]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20603228 0.55474739 0.23922033]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10924263 0.89075737 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.46273121 0. 0.53726879]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23575451 0. 0.34162893 0.42261656]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.35808759 0. 0. 0.64191241]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38666054 0.29822406 0.12366406 0.19145133]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17028484 0.15260497 0.67711018]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48623003 0.20162418 0.31214579]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36416915 0.10385883 0.45674819 0.07522383]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21904247 0.33851034 0.44244718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67035055 0.1911799 0. 0.13846955]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18015946 0.12098139 0.12976945 0. 0.56908969]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.57994909 0. 0.42005091]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.70687948 0.29312052 0. ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41809039 0.28075771 0.30115189 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08883255 0.53099163 0.24638681 0.13378901]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39286408 0.60713592 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18940505 0. 0.52533564 0.28525932]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.39902942 0. 0. 0.60097058]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.59825646 0.40174354 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.340275 0.22584459 0.4338804 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24948802 0.49036802 0.26014396]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.52737756 0.47262244 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33721157 0.66278843 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.34233142 0.65766858 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1567909 0.10528884 0.112937 0.12971045 0.49527281]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.07989297 0.65144216 0.12478214 0.14388274]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20603228 0.55474739 0.23922033]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.16265801 0.31005344 0.2357057 0.29158284]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81535117 0.08711285 0.09753598]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10900306 0.07234664 0.13898844 0.67966186]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24948802 0.49036802 0.26014396]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.12659884 0.08402516 0. 0.789376 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.4717758 0.5282242]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.21282118 0.40567285 0. 0.38150597]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22921008 0. 0.35799549 0.41279443]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.35702254 0. 0. 0.64297746]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.34409577 0.65590423 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27081728 0.72918272 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18015946 0.12098139 0.12976945 0. 0.56908969]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36416915 0.10385883 0.45674819 0.07522383]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.41809039 0.28075771 0.30115189 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60106558 0.39893442 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.4824765 0.5175235 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.08883255 0.53099163 0.24638681 0.13378901]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21904247 0.33851034 0.44244718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.16334348 0.71834858 0.11830794]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39286408 0.60713592 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18940505 0. 0.52533564 0.28525932]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.39902942 0. 0. 0.60097058]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.48954546 0. 0.51045454]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17028484 0.15260497 0.67711018]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.57994909 0. 0.42005091]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.38666054 0.29822406 0.12366406 0.19145133]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.55097435 0. 0.17621588 0.27280977]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20095096 0. 0.79904904]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.39244057 0.60755943]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
Iteration 54, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13265378 0.10281528 0.10725174 0.11559697 0.54168223]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0801986 0.62334872 0.12917776 0.16727492]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78607436 0.10546749 0.10845815]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10054241 0.06929762 0.13562883 0.69453114]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49301006 0.50698994]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17812263 0.35430924 0.21211335 0.25545477]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09209526 0.71581626 0. 0.19208848]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23611016 0.53902172 0.22486812]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07853873 0.58196016 0.23859083 0.10091028]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35719725 0.11179887 0.46924488 0.061759 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14999245 0.11625388 0.12127021 0. 0.61248346]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.17392407 0.72999825 0.09607768]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20013301 0.33107969 0.4687873 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42545391 0.29016106 0.11332492 0.17106011]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.41391843 0.58608157]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64415904 0. 0.35584096]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59936683 0. 0.15964878 0.24098439]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19865464 0.16443078 0.63691458]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.39849116 0.60150884]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23923682 0.47587336 0.28488982 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0873536 0.64727707 0.26536933 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24765501 0. 0.75234499 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.70562755 0.29437245]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.32406943 0. 0. 0.67593057]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.62552103 0.37447897 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38706077 0.2999972 0.31294203 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24754333 0.47731004 0.27514663]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32914128 0.22685658 0.44400214 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.47359496 0. 0.52640504]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55294175 0. 0.44705825 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.591983 0.408017 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54712922 0.45287078 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13265378 0.10281528 0.10725174 0.11559697 0.54168223]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0801986 0.62334872 0.12917776 0.16727492]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14999245 0.11625388 0.12127021 0. 0.61248346]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07853873 0.58196016 0.23859083 0.10091028]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35719725 0.11179887 0.46924488 0.061759 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20013301 0.33107969 0.4687873 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42545391 0.29016106 0.11332492 0.17106011]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19865464 0.16443078 0.63691458]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10054241 0.06929762 0.13562883 0.69453114]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78607436 0.10546749 0.10845815]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32914128 0.22685658 0.44400214 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.2051934 0.7948066]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50502661 0.19724252 0.29773087]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17812263 0.35430924 0.21211335 0.25545477]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.67769925 0.14044093 0.18185982]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23611016 0.53902172 0.22486812]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23923682 0.47587336 0.28488982 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.6291148 0. 0.3708852]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.41391843 0.58608157]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67299822 0.21064115 0. 0.11636063]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17069235 0.13229764 0. 0. 0.69701001]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64415904 0. 0.35584096]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.0873536 0.64727707 0.26536933 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.30460643 0.69539357 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.43574497 0.56425503]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.62552103 0.37447897 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11890819 0.88109181 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5633597 0.4366403 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42571827 0. 0.57428173 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24754333 0.47731004 0.27514663]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.47359496 0. 0.52640504]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.49301006 0.50698994]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13265378 0.10281528 0.10725174 0.11559697 0.54168223]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07853873 0.58196016 0.23859083 0.10091028]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20013301 0.33107969 0.4687873 ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18787378 0. 0.57073707 0.24138914]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14859035 0.11516716 0. 0.12948439 0.60675809]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35719725 0.11179887 0.46924488 0.061759 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.29918812 0. 0.70081188]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67299822 0.21064115 0. 0.11636063]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37785991 0.29286593 0. 0.32927415 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0801986 0.62334872 0.12917776 0.16727492]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17812263 0.35430924 0.21211335 0.25545477]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78607436 0.10546749 0.10845815]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22607647 0.44969571 0. 0.32422782]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09630862 0.74856484 0.15512654 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23611016 0.53902172 0.22486812]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.3830356 0. 0.6169644 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88170214 0.11829786 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10054241 0.06929762 0.13562883 0.69453114]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5633597 0.4366403 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32914128 0.22685658 0.44400214 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24754333 0.47731004 0.27514663]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.591983 0.408017 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.47359496 0. 0.52640504]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19865464 0.16443078 0.63691458]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3345454 0.6654546 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51219367 0. 0.48780633]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.70276893 0.29723107]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42545391 0.29016106 0.11332492 0.17106011]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64415904 0. 0.35584096]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.51325062 0.35003872 0.13671066 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.78966338 0. 0.21033662 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.2051934 0.7948066]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13265378 0.10281528 0.10725174 0.11559697 0.54168223]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35719725 0.11179887 0.46924488 0.061759 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28943625 0.22433187 0.23401175 0.25222013 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10054241 0.06929762 0.13562883 0.69453114]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78607436 0.10546749 0.10845815]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17812263 0.35430924 0.21211335 0.25545477]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23611016 0.53902172 0.22486812]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0801986 0.62334872 0.12917776 0.16727492]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.51219367 0. 0.48780633]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07853873 0.58196016 0.23859083 0.10091028]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20013301 0.33107969 0.4687873 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.17392407 0.72999825 0.09607768]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37674742 0.62325258 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.18787378 0. 0.57073707 0.24138914]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.27586369 0. 0.3285061 0.39563021]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.21292534 0. 0.34296382 0.44411084]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.45644851 0. 0.54355149 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42545391 0.29016106 0.11332492 0.17106011]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19865464 0.16443078 0.63691458]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50502661 0.19724252 0.29773087]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.39849116 0.60150884]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88170214 0.11829786 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32914128 0.22685658 0.44400214 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24754333 0.47731004 0.27514663]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.54712922 0.45287078 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.591983 0.408017 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.34150815 0.65849185 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.3157097 0.32933252 0.35495778 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.43766599 0. 0. 0.56233401]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64415904 0. 0.35584096]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.47073954 0. 0.52926046 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.3830356 0. 0.6169644 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13265378 0.10281528 0.10725174 0.11559697 0.54168223]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.0801986 0.62334872 0.12917776 0.16727492]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23611016 0.53902172 0.22486812]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.07853873 0.58196016 0.23859083 0.10091028]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.70562755 0.29437245]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.21292534 0. 0.34296382 0.44411084]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78607436 0.10546749 0.10845815]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17812263 0.35430924 0.21211335 0.25545477]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.32406943 0. 0. 0.67593057]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23923682 0.47587336 0.28488982 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42545391 0.29016106 0.11332492 0.17106011]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.20013301 0.33107969 0.4687873 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35719725 0.11179887 0.46924488 0.061759 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37674742 0.62325258 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59936683 0. 0.15964878 0.24098439]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19865464 0.16443078 0.63691458]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10054241 0.06929762 0.13562883 0.69453114]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.88170214 0.11829786 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32914128 0.22685658 0.44400214 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14999245 0.11625388 0.12127021 0. 0.61248346]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.3381585 0.6618415 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.24754333 0.47731004 0.27514663]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.2051934 0.7948066]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.39849116 0.60150884]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.62552103 0.37447897 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.13676805 0.14266957 0. 0.72056238]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.67299822 0.21064115 0. 0.11636063]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.48944036 0.51055964 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10314917 0.76431988 0. 0.13253095]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.47359496 0. 0.52640504]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.85222632 0. 0.14777368]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.64415904 0. 0.35584096]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
Iteration 55, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14906054 0.09638855 0.10735188 0.10607347 0.54112557]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33261414 0.12979506 0.47272624 0.06486456]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22135507 0.32772635 0.45091858]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63081869 0.24616256 0. 0.12301876]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09299716 0.55951391 0.23101882 0.11647012]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40313706 0.59686294 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41922415 0.29307641 0.10749762 0.18020181]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21112393 0. 0.52446336 0.2644127 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.71930693 0.28069307 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59302612 0. 0.15206399 0.25490989]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17330703 0.32018692 0.22324398 0.28326208]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78654235 0.10191246 0.11154519]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10372252 0.06638593 0.14229201 0.68759955]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47743643 0.52256357]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08590636 0.60536438 0.12856736 0.1801619 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22311643 0.41221041 0. 0.36467317]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10478454 0.73839504 0.15682042 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23049504 0.56564888 0.20385608]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3511837 0.6488163 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.69937603 0. 0. 0.30062397]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17913771 0.15425179 0.6666105 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32483949 0.2100543 0.23394608 0.23116013 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40054492 0. 0.59945508 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42250604 0.27320943 0.30428454 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25737748 0.49108201 0.25154051]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53732259 0.46267741 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33201782 0.21250268 0.45547951 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.3438763 0.6561237 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.42161136 0. 0.57838864 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.5813312 0. 0.4186688 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28701411 0. 0.71298589 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28951429 0.71048571 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14906054 0.09638855 0.10735188 0.10607347 0.54112557]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33261414 0.12979506 0.47272624 0.06486456]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32483949 0.2100543 0.23394608 0.23116013 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10372252 0.06638593 0.14229201 0.68759955]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.31111757 0.3465044 0.34237803 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09299716 0.55951391 0.23101882 0.11647012]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22135507 0.32772635 0.45091858]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.19448278 0.70832522 0.09719199]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40313706 0.59686294 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41922415 0.29307641 0.10749762 0.18020181]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21112393 0. 0.52446336 0.2644127 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.47608212 0. 0.52391788 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25737748 0.49108201 0.25154051]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.0740685 0.15875888 0.76717262]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78654235 0.10191246 0.11154519]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08590636 0.60536438 0.12856736 0.1801619 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17330703 0.32018692 0.22324398 0.28326208]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23049504 0.56564888 0.20385608]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.66482352 0.33517648]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.73508153 0.26491847]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10478454 0.73839504 0.15682042 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25493335 0. 0.32839024 0.41667641]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.87579697 0. 0.12420303]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.31812626 0.68187374 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50573468 0. 0.49426532]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17913771 0.15425179 0.6666105 ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40054492 0. 0.59945508 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37958553 0. 0. 0.62041447]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59302612 0. 0.15206399 0.25490989]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.21180974 0. 0.78819026]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37364557 0.62635443]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.66677957 0. 0.33322043]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14906054 0.09638855 0.10735188 0.10607347 0.54112557]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09299716 0.55951391 0.23101882 0.11647012]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22135507 0.32772635 0.45091858]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33261414 0.12979506 0.47272624 0.06486456]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40313706 0.59686294 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.21112393 0. 0.52446336 0.2644127 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63081869 0.24616256 0. 0.12301876]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.28701411 0. 0.71298589 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16698689 0.10798045 0. 0.11883011 0.60620255]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25737748 0.49108201 0.25154051]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10372252 0.06638593 0.14229201 0.68759955]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78654235 0.10191246 0.11154519]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33201782 0.21250268 0.45547951 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50573468 0. 0.49426532]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.18720093 0. 0. 0.13321469 0.67958438]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60974347 0.39025653 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17913771 0.15425179 0.6666105 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41922415 0.29307641 0.10749762 0.18020181]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53732259 0.46267741 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 0.16389621 0.83610379]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.71930693 0.28069307 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08590636 0.60536438 0.12856736 0.1801619 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23049504 0.56564888 0.20385608]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17330703 0.32018692 0.22324398 0.28326208]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.21768526 0. 0.32578752 0.45652722]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24179972 0.44672802 0.31147226 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47743643 0.52256357]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3511837 0.6488163 0. 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50462913 0.18509313 0.31027774]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37364557 0.62635443]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28951429 0.71048571 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40054492 0. 0.59945508 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14906054 0.09638855 0.10735188 0.10607347 0.54112557]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33261414 0.12979506 0.47272624 0.06486456]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22135507 0.32772635 0.45091858]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09299716 0.55951391 0.23101882 0.11647012]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23049504 0.56564888 0.20385608]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17330703 0.32018692 0.22324398 0.28326208]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78654235 0.10191246 0.11154519]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10372252 0.06638593 0.14229201 0.68759955]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32483949 0.2100543 0.23394608 0.23116013 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.0740685 0.15875888 0.76717262]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47743643 0.52256357]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.22311643 0.41221041 0. 0.36467317]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.28951429 0.71048571 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12093554 0.72760416 0. 0.1514603 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32926335 0. 0.67073665]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63081869 0.24616256 0. 0.12301876]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41922415 0.29307641 0.10749762 0.18020181]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17913771 0.15425179 0.6666105 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.50462913 0.18509313 0.31027774]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37364557 0.62635443]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37958553 0. 0. 0.62041447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08590636 0.60536438 0.12856736 0.1801619 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.83680997 0. 0. 0.16319003]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.31111757 0.3465044 0.34237803 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44396986 0. 0. 0.55603014]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.47608212 0. 0.52391788 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10478454 0.73839504 0.15682042 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25737748 0.49108201 0.25154051]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.31812626 0.68187374 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50573468 0. 0.49426532]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53732259 0.46267741 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.82482382 0.17517618 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.14906054 0.09638855 0.10735188 0.10607347 0.54112557]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.33261414 0.12979506 0.47272624 0.06486456]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.22135507 0.32772635 0.45091858]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.63081869 0.24616256 0. 0.12301876]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41922415 0.29307641 0.10749762 0.18020181]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40313706 0.59686294 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.59302612 0. 0.15206399 0.25490989]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17913771 0.15425179 0.6666105 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.37364557 0.62635443]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.83680997 0. 0. 0.16319003]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.32483949 0.2100543 0.23394608 0.23116013 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10372252 0.06638593 0.14229201 0.68759955]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78654235 0.10191246 0.11154519]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.33201782 0.21250268 0.45547951 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.25737748 0.49108201 0.25154051]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.60974347 0.39025653 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.31111757 0.3465044 0.34237803 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.50573468 0. 0.49426532]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.50299497 0.49700503 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.09299716 0.55951391 0.23101882 0.11647012]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.23049504 0.56564888 0.20385608]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08590636 0.60536438 0.12856736 0.1801619 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17330703 0.32018692 0.22324398 0.28326208]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53066524 0. 0.46933476]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12093554 0.72760416 0. 0.1514603 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.44396986 0. 0. 0.55603014]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10478454 0.73839504 0.15682042 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25493335 0. 0.32839024 0.41667641]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.47743643 0.52256357]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.40054492 0. 0.59945508 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.37958553 0. 0. 0.62041447]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.53732259 0.46267741 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
Iteration 56, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1452931 0.10702624 0.11143344 0.11953005 0.51671718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30791566 0.15463412 0.47021079 0.06723944]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23850419 0.35144384 0.41005197]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58120409 0.29187857 0. 0.12691734]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30063783 0.22145673 0.23057605 0.24732939 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29277843 0.47720466 0.23001691]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3861543 0. 0.29616344 0.31768227 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09818686 0.62388658 0.11368683 0.16423973]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24949927 0.54863014 0.20187059]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.26105651 0. 0.30226742 0.43667607]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17885725 0.32109092 0.23166963 0.2683822 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.46342166 0. 0.53657834 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56594498 0. 0.43405502 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09814297 0.06644603 0.1378449 0.69756611]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76853847 0.09801934 0.13344219]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32451048 0.2197043 0.45578522 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11347416 0.54548545 0.22743469 0.1136057 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40428 0.59572 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24966012 0. 0.50039034 0.24994954]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55276015 0. 0.44723985]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24446815 0.43887795 0.3166539 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49971036 0. 0. 0.50028964]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.69694704 0. 0.30305296]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40213942 0.29749629 0.10187408 0.19849021]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5017274 0.37116988 0.12710273 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.7978743 0. 0.2021257 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19269146 0.15616486 0.65114369]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.32525198 0.67474802 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.67475976 0.32524024]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19343888 0.80656112]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.43567732 0. 0.56432268 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.42348006 0.57651994]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1452931 0.10702624 0.11143344 0.11953005 0.51671718]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09814297 0.06644603 0.1378449 0.69756611]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76853847 0.09801934 0.13344219]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32451048 0.2197043 0.45578522 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29277843 0.47720466 0.23001691]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59629118 0.40370882 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19269146 0.15616486 0.65114369]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40213942 0.29749629 0.10187408 0.19849021]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30791566 0.15463412 0.47021079 0.06723944]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.5017274 0.37116988 0.12710273 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55235193 0.44764807 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.12521981 0.13037621 0.13984916 0.60455482]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11347416 0.54548545 0.22743469 0.1136057 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23850419 0.35144384 0.41005197]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.74491327 0.25508673 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.46151776 0.53848224]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24966012 0. 0.50039034 0.24994954]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24949927 0.54863014 0.20187059]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09818686 0.62388658 0.11368683 0.16423973]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.42348006 0.57651994]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17885725 0.32109092 0.23166963 0.2683822 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11078123 0.70391212 0. 0.18530666]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55276015 0. 0.44723985]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49971036 0. 0. 0.50028964]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36423951 0. 0.55622163 0.07953886]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82076896 0. 0. 0.17923104]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.14399308 0. 0.16081571 0.69519121]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.47240463 0. 0.52759537 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56002494 0. 0.43997506]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.37414981 0. 0. 0.62585019]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23278691 0.41790737 0. 0.34930573]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.54470834 0. 0.45529166]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1452931 0.10702624 0.11143344 0.11953005 0.51671718]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29277843 0.47720466 0.23001691]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09814297 0.06644603 0.1378449 0.69756611]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76853847 0.09801934 0.13344219]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32451048 0.2197043 0.45578522 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.16270702 0. 0.12478916 0.13385617 0.57864766]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30791566 0.15463412 0.47021079 0.06723944]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23850419 0.35144384 0.41005197]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11347416 0.54548545 0.22743469 0.1136057 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58120409 0.29187857 0. 0.12691734]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3861543 0. 0.29616344 0.31768227 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09818686 0.62388658 0.11368683 0.16423973]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.56594498 0. 0.43405502 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.32525198 0.67474802 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56002494 0. 0.43997506]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1280177 0.61539819 0.25658411 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24949927 0.54863014 0.20187059]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.69181358 0.12606473 0.18212169]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55276015 0. 0.44723985]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.17220199 0.82779801 0. 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3677464 0. 0.6322536]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.69694704 0. 0.30305296]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40213942 0.29749629 0.10187408 0.19849021]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.57243744 0. 0.14501572 0.28254684]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19269146 0.15616486 0.65114369]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33916842 0.66083158]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17885725 0.32109092 0.23166963 0.2683822 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.42348006 0.57651994]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.23278691 0.41790737 0. 0.34930573]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.39991385 0. 0. 0.60008615]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55235193 0.44764807 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.4090535 0.5909465]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1452931 0.10702624 0.11143344 0.11953005 0.51671718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30791566 0.15463412 0.47021079 0.06723944]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23850419 0.35144384 0.41005197]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.58120409 0.29187857 0. 0.12691734]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40213942 0.29749629 0.10187408 0.19849021]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19269146 0.15616486 0.65114369]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49760145 0.17039772 0.33200083]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17885725 0.32109092 0.23166963 0.2683822 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.59980724 0. 0.40019276]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.82076896 0. 0. 0.17923104]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11347416 0.54548545 0.22743469 0.1136057 ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24949927 0.54863014 0.20187059]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09818686 0.62388658 0.11368683 0.16423973]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30063783 0.22145673 0.23057605 0.24732939 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.1468797 0.70607034 0. 0.14704997]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40428 0.59572 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.49971036 0. 0. 0.50028964]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39073105 0.28782147 0. 0.32144748 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.69181358 0.12606473 0.18212169]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55276015 0. 0.44723985]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.57583022 0.42416978 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29277843 0.47720466 0.23001691]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09814297 0.06644603 0.1378449 0.69756611]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76853847 0.09801934 0.13344219]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32451048 0.2197043 0.45578522 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56002494 0. 0.43997506]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.59629118 0.40370882 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 1. 0. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.55235193 0.44764807 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 0.4090535 0.5909465]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39102936 0.28213076 0.32683988]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.42348006 0.57651994]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.54470834 0. 0.45529166]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1452931 0.10702624 0.11143344 0.11953005 0.51671718]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.30791566 0.15463412 0.47021079 0.06723944]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.40213942 0.29749629 0.10187408 0.19849021]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.19269146 0.15616486 0.65114369]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.09814297 0.06644603 0.1378449 0.69756611]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.30063783 0.22145673 0.23057605 0.24732939 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.0736769 0.15284562 0.77347748]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.19343888 0.80656112]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49760145 0.17039772 0.33200083]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.23850419 0.35144384 0.41005197]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11347416 0.54548545 0.22743469 0.1136057 ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.31665529 0.32969477 0.35364994 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.61530688 0.25654603 0.12814709]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.36423951 0. 0.55622163 0.07953886]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.47240463 0. 0.52759537 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09818686 0.62388658 0.11368683 0.16423973]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.17885725 0.32109092 0.23166963 0.2683822 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.33916842 0.66083158]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.87489178 0.12510822]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3677464 0. 0.6322536]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.39102936 0.28213076 0.32683988]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.24949927 0.54863014 0.20187059]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11748208 0.74648987 0.13602804 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.29277843 0.47720466 0.23001691]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0.16500249 0.83499751]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.76853847 0.09801934 0.13344219]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.56002494 0. 0.43997506]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.7057462 0.2942538 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.55276015 0. 0.44723985]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46329124 0.53670876]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.42348006 0.57651994]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0.8458637 0.1541363 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
Iteration 57, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13800954 0.10899273 0.11825505 0.11376894 0.52097375]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10105679 0.06415789 0.14187355 0.69291177]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20208518 0.1567688 0.64114602]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41794569 0.28008349 0.12124267 0.18072816]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56314041 0.43685959 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10798487 0. 0.15159988 0.74041525]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.12644308 0.13718835 0.13198399 0.60438459]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35428955 0.14842274 0.41918183 0.07810588]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.3196111 0.346772 0.3336169 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08301392 0.61109309 0.10396074 0.20193225]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78653815 0.09536176 0.11810009]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09264541 0.68199365 0. 0.22536094]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20776189 0.28712644 0.22541792 0.27969376]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22434324 0.59129456 0.1843622 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.29144283 0. 0.31621023 0.39234694]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.86945047 0. 0.13054953]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 0.16995214 0.83004786]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42621701 0. 0. 0.57378299]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11959816 0.88040184 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27505253 0.72494747 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.47962065 0.52037935 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28827165 0.4703679 0.24136045]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54428659 0. 0.45571341]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11508237 0.55453183 0.22589985 0.10448596]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14866599 0.7163567 0. 0.13497731]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21067423 0.31111036 0.47821541]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.5241301 0. 0. 0.4758699]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.4811982 0.20830129 0.3105005 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.60780471 0. 0.39219529]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3058171 0. 0.6941829]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.2298596 0.64917925 0.12096115]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.65520525 0. 0.34479475]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13800954 0.10899273 0.11825505 0.11376894 0.52097375]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35428955 0.14842274 0.41918183 0.07810588]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11508237 0.55453183 0.22589985 0.10448596]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21067423 0.31111036 0.47821541]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.38430611 0.1609976 0.45469628 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41794569 0.28008349 0.12124267 0.18072816]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40375709 0.59624291 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58054744 0. 0.16841212 0.25104044]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20208518 0.1567688 0.64114602]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.40150457 0.59849543]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.45805127 0. 0.54194873 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28810434 0.22752975 0.24686548 0.23750042 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08301392 0.61109309 0.10396074 0.20193225]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20776189 0.28712644 0.22541792 0.27969376]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22434324 0.59129456 0.1843622 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10401864 0.7657158 0.13026556 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78653815 0.09536176 0.11810009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10105679 0.06415789 0.14187355 0.69291177]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44673912 0.55326088]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11959816 0.88040184 0. 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489118 0. 0.4510882]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25834027 0. 0.5071066 0.23455314]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37784197 0.29839984 0.32375819 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.68374562 0.31625438]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.29144283 0. 0.31621023 0.39234694]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55873796 0.44126204 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28827165 0.4703679 0.24136045]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56314041 0.43685959 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32908063 0.20892331 0.46199606 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.31139853 0.68860147 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.379985 0.620015 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 1. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.47962044 0. 0.52037956 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13800954 0.10899273 0.11825505 0.11376894 0.52097375]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28827165 0.4703679 0.24136045]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.1548916 0. 0.13272063 0.12768576 0.58470201]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11508237 0.55453183 0.22589985 0.10448596]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21067423 0.31111036 0.47821541]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35428955 0.14842274 0.41918183 0.07810588]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40375709 0.59624291 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25834027 0. 0.5071066 0.23455314]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22434324 0.59129456 0.1843622 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08301392 0.61109309 0.10396074 0.20193225]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20776189 0.28712644 0.22541792 0.27969376]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489118 0. 0.4510882]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.5241301 0. 0. 0.4758699]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17859482 0. 0. 0.14722563 0.67417955]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60998358 0.25554081 0. 0.13447561]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.54813876 0. 0. 0.45186124 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10105679 0.06415789 0.14187355 0.69291177]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78653815 0.09536176 0.11810009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.32908063 0.20892331 0.46199606 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.66088123 0.33911877]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61166955 0.38833045 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10401864 0.7657158 0.13026556 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.29144283 0. 0.31621023 0.39234694]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44673912 0.55326088]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44398487 0. 0.55601513 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.42621701 0. 0. 0.57378299]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20208518 0.1567688 0.64114602]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41794569 0.28008349 0.12124267 0.18072816]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58054744 0. 0.16841212 0.25104044]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.69811917 0. 0. 0.30188083]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56314041 0.43685959 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.65520525 0. 0.34479475]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13800954 0.10899273 0.11825505 0.11376894 0.52097375]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35428955 0.14842274 0.41918183 0.07810588]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21067423 0.31111036 0.47821541]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11508237 0.55453183 0.22589985 0.10448596]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.3058171 0. 0.6941829]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60998358 0.25554081 0. 0.13447561]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28810434 0.22752975 0.24686548 0.23750042 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08301392 0.61109309 0.10396074 0.20193225]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22434324 0.59129456 0.1843622 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20776189 0.28712644 0.22541792 0.27969376]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.21345448 0. 0.26731524 0.51923028]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78653815 0.09536176 0.11810009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10105679 0.06415789 0.14187355 0.69291177]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28827165 0.4703679 0.24136045]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11776445 0.07476508 0. 0.80747048]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44673912 0.55326088]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.29133195 0. 0. 0.70866805]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.28843549 0.39861717 0.31294733 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.27505253 0.72494747 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37784197 0.29839984 0.32375819 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25834027 0. 0.5071066 0.23455314]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55873796 0.44126204 0. 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61166955 0.38833045 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.54428659 0. 0.45571341]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20208518 0.1567688 0.64114602]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41794569 0.28008349 0.12124267 0.18072816]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.47962044 0. 0.52037956 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.4756099 0.31872677 0. 0.20566333]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.69811917 0. 0. 0.30188083]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56314041 0.43685959 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.65520525 0. 0.34479475]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.68374562 0.31625438]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.13800954 0.10899273 0.11825505 0.11376894 0.52097375]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35428955 0.14842274 0.41918183 0.07810588]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.21067423 0.31111036 0.47821541]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.60998358 0.25554081 0. 0.13447561]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28810434 0.22752975 0.24686548 0.23750042 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08301392 0.61109309 0.10396074 0.20193225]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.20776189 0.28712644 0.22541792 0.27969376]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.41794569 0.28008349 0.12124267 0.18072816]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.40375709 0.59624291 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11508237 0.55453183 0.22589985 0.10448596]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.37784197 0.29839984 0.32375819 0. 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.62664796 0.25527782 0.11807422]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.58054744 0. 0.16841212 0.25104044]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.20208518 0.1567688 0.64114602]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.40150457 0.59849543]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.65520525 0. 0.34479475]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.36242442 0.28453304 0.35304255]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78653815 0.09536176 0.11810009]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.10105679 0.06415789 0.14187355 0.69291177]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.28827165 0.4703679 0.24136045]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.56314041 0.43685959 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.379985 0.620015 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.11776445 0.07476508 0. 0.80747048]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.44673912 0.55326088]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.50655647 0. 0.49344353]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.10401864 0.7657158 0.13026556 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.22434324 0.59129456 0.1843622 ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.44398487 0. 0.55601513 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.55873796 0.44126204 0. 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.61166955 0.38833045 0. 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.5489118 0. 0.4510882]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0.68374562 0.31625438]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
Iteration 58, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15501195 0.12925239 0.10373203 0.10829254 0.50371108]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179869 0.58367143 0.11197772 0.21255216]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19750016 0.37612326 0.19971481 0.22666178]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78743087 0.09618643 0.1163827 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.06987435 0.05127885 0.15780033 0.72104646]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45249482 0.54750518]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11657748 0.74121917 0.14220335 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21097346 0.59581728 0.19320926]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11255886 0.5393109 0.23934396 0.10878628]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19780849 0.31379953 0.48839198]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.24432717 0. 0.51953466 0.23613818]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0.75512958 0.24487042]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45048732 0. 0.54951268 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17383723 0.14494932 0.11632967 0. 0.56488378]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34541867 0.14806643 0.43011293 0.07640198]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50852194 0. 0. 0.49147806]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.37399243 0.16031479 0.46569278 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28826633 0. 0.71173367]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.69995765 0.30004235 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39951907 0.33312783 0.26735309 0. 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25048742 0.18382578 0.5656868 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.20064994 0.55092348 0.24842658]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57674374 0.42325626 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.55476839 0.44523161 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.44680568 0. 0.55319432]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17059977 0.18458341 0.64481683]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44040818 0.26937501 0.11541958 0.17479723]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6027828 0. 0.15797376 0.23924343]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48031489 0.51968511 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24678722 0.46998652 0. 0.28322625]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.39770122 0.60229878]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.62397577 0. 0.37602423]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15501195 0.12925239 0.10373203 0.10829254 0.50371108]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34541867 0.14806643 0.43011293 0.07640198]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.31234216 0.2604378 0.20901541 0.21820462 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11255886 0.5393109 0.23934396 0.10878628]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.39487769 0.32925774 0. 0.27586457 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.20064994 0.55092348 0.24842658]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.58871747 0. 0. 0.41128253 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.06987435 0.05127885 0.15780033 0.72104646]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78743087 0.09618643 0.1163827 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25048742 0.18382578 0.5656868 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.68921429 0.31078571]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57674374 0.42325626 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179869 0.58367143 0.11197772 0.21255216]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19750016 0.37612326 0.19971481 0.22666178]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21097346 0.59581728 0.19320926]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11657748 0.74121917 0.14220335 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52197546 0. 0.47802454]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.60771456 0.26970122 0.12258423]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.2262002 0.65708095 0.11671885]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0.69261868 0.30738132 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19780849 0.31379953 0.48839198]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.25609082 0.74390918 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38664072 0.61335928 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44040818 0.26937501 0.11541958 0.17479723]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17059977 0.18458341 0.64481683]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48137767 0.20625673 0.3123656 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.70004885 0.29995115 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3165692 0. 0.32011901 0.36331179]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 1. 0.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0.46840003 0.53159997]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45048732 0. 0.54951268 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45249482 0.54750518]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48031489 0.51968511 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15501195 0.12925239 0.10373203 0.10829254 0.50371108]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.20064994 0.55092348 0.24842658]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.17802168 0. 0.11912985 0.12436731 0.57848116]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34541867 0.14806643 0.43011293 0.07640198]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.42233387 0. 0.28262046 0.29504567 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.06987435 0.05127885 0.15780033 0.72104646]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78743087 0.09618643 0.1163827 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25048742 0.18382578 0.5656868 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0.48924534 0.51075466 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11255886 0.5393109 0.23934396 0.10878628]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21097346 0.59581728 0.19320926]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179869 0.58367143 0.11197772 0.21255216]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52197546 0. 0.47802454]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14797603 0.70900757 0. 0.14301639]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19780849 0.31379953 0.48839198]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.2262002 0.65708095 0.11671885]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38664072 0.61335928 0. ]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50852194 0. 0. 0.49147806]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.65963147 0. 0.34036853]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44040818 0.26937501 0.11541958 0.17479723]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6027828 0. 0.15797376 0.23924343]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17059977 0.18458341 0.64481683]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.24526043 0.75473957 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0.68921429 0.31078571]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0.22255046 0.77744954]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 0. 1.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.39770122 0.60229878]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19750016 0.37612326 0.19971481 0.22666178]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45249482 0.54750518]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22049577 0. 0.26896477 0.51053946]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24678722 0.46998652 0. 0.28322625]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.30162126 0. 0. 0.69837874]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.62397577 0. 0.37602423]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15501195 0.12925239 0.10373203 0.10829254 0.50371108]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.06987435 0.05127885 0.15780033 0.72104646]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78743087 0.09618643 0.1163827 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25048742 0.18382578 0.5656868 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.15296358 0.12276154 0.12815866 0.59611622]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11255886 0.5393109 0.23934396 0.10878628]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21097346 0.59581728 0.19320926]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179869 0.58367143 0.11197772 0.21255216]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52197546 0. 0.47802454]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19750016 0.37612326 0.19971481 0.22666178]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45249482 0.54750518]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.24678722 0.46998652 0. 0.28322625]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14797603 0.70900757 0. 0.14301639]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19780849 0.31379953 0.48839198]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34541867 0.14806643 0.43011293 0.07640198]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44040818 0.26937501 0.11541958 0.17479723]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17059977 0.18458341 0.64481683]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.48137767 0.20625673 0.3123656 ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.38664072 0.61335928 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.39770122 0.60229878]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.46562443 0. 0. 0.53437557]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40545258 0. 0.50486674 0.08968068]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50852194 0. 0. 0.49147806]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.17436944 0. 0.1460933 0.67953726]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.445396 0. 0.554604 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.54411767 0. 0.45588233 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.20064994 0.55092348 0.24842658]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0.24526043 0.75473957 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.44680568 0. 0.55319432]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22049577 0. 0.26896477 0.51053946]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45048732 0. 0.54951268 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 1. 0.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [1. 0. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48031489 0.51968511 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0. 1. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15501195 0.12925239 0.10373203 0.10829254 0.50371108]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.06987435 0.05127885 0.15780033 0.72104646]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.78743087 0.09618643 0.1163827 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25048742 0.18382578 0.5656868 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.20064994 0.55092348 0.24842658]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.57674374 0.42325626 0. 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.15296358 0.12276154 0.12815866 0.59611622]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.11255886 0.5393109 0.23934396 0.10878628]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.21097346 0.59581728 0.19320926]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.09179869 0.58367143 0.11197772 0.21255216]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.19750016 0.37612326 0.19971481 0.22666178]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.52197546 0. 0.47802454]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.14797603 0.70900757 0. 0.14301639]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19780849 0.31379953 0.48839198]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.50852194 0. 0. 0.49147806]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.17436944 0. 0.1460933 0.67953726]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.11657748 0.74121917 0.14220335 0. ]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.3165692 0. 0.32011901 0.36331179]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.45048732 0. 0.54951268 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.20420198 0. 0. 0.79579802]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.34541867 0.14806643 0.43011293 0.07640198]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.44040818 0.26937501 0.11541958 0.17479723]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.28826633 0. 0.71173367]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.40545258 0. 0.50486674 0.08968068]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.445396 0. 0.554604 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0. 0. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.44680568 0. 0.55319432]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.17059977 0.18458341 0.64481683]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.6027828 0. 0.15797376 0.23924343]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.48031489 0.51968511 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [1. 0. 0.]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 1. 0. 0.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0.45249482 0.54750518]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0. 0. 1. 0.]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0. 0. 1.]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.49721229 0. 0.50278771 0. ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.33333333 0.33333333 0.33333333]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 1. 0.]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [1. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0.39770122 0.60229878]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [1. 0. 0. 0.]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
Iteration 59, Best Cost: 504
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.15777415 0.11591598 0.10610712 0.10225095 0.5179518 ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.08116133 0.05415275 0.15736862 0.7073173 ]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.81689292 0.08762211 0.09548497]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.18257147 0.3546938 0.21518931 0.24754542]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.42792249 0.28137101 0.10983782 0.18086868]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.1758355 0.17480724 0.64935726]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.49184072 0.19199815 0.31616114]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.43391414 0.26325153 0.30283433]
[(9, 2, {'arc': 31, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 10, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (9, 10, {'arc': 32, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 36, 'successor_arcs': [34, 35, 36, 37], 'frequency': 5}), (9, 11, {'arc': 33, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 40, 'successor_arcs': [38, 39, 40, 41], 'frequency': 1})] [0.90312808 0.09687192 0. ]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.27730141 0.18502205 0.53767654 0. ]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.50146625 0.49853375 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.23572098 0.53797321 0.22630582]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0.34025633 0. 0.65974367 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.13763052 0.12598416 0.12140562 0.61497971]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.35833626 0.12899927 0.4200217 0.09264277]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.35746302 0.32721434 0.31532264 0. ]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.08765223 0.61774988 0.12429495 0.17030294]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.20640895 0.61647059 0.17712046]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.22930595 0. 0.32516655 0.4455275 ]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0.58895832 0. 0.41104168]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.53818285 0. 0.46181715]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0. 0. 0. 1.]
[(10, 1, {'arc': 34, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 5, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 2}), (10, 8, {'arc': 35, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 29, 'successor_arcs': [28, 29, 30], 'frequency': 4}), (10, 9, {'arc': 36, 'demand': 1, 'cost_traversing': 16, 'cost_collecting': 16, 'opposed_arc': 32, 'successor_arcs': [31, 32, 33], 'frequency': 5}), (10, 11, {'arc': 37, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 41, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2})] [0.41355694 0. 0.58644306 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0.52208973 0.47791027 0. 0. ]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.51018898 0. 0.48981102]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 0. 1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.10934294 0.51728956 0.24501794 0.12834956]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0.20103873 0.65458227 0.144379 ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0.60871236 0. 0.39128764]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.19134236 0.34907403 0.4595836 ]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0.81929162 0.18070838]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.35406469 0.64593531 0. ]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0. 0. 0. 1.]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0. 0. 0. 1.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.12544357 0.59345987 0.28109656 0. ]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0. 1. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.30856381 0. 0.69143619 0. ]
[(1, 2, {'arc': 2, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 7, 'successor_arcs': [7, 8, 9, 10], 'frequency': 4}), (1, 4, {'arc': 3, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 14, 'successor_arcs': [14, 15, 16], 'frequency': 1}), (1, 7, {'arc': 4, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 24, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (1, 10, {'arc': 5, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 34, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2}), (1, 12, {'arc': 6, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 42, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.2 0.2 0.2 0.2 0.2]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0. 0. 1. 0.]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [1. 0. 0.]
[(7, 1, {'arc': 24, 'demand': 1, 'cost_traversing': 19, 'cost_collecting': 19, 'opposed_arc': 4, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (7, 6, {'arc': 25, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 22, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (7, 8, {'arc': 26, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 28, 'successor_arcs': [28, 29, 30], 'frequency': 1}), (7, 12, {'arc': 27, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 45, 'successor_arcs': [42, 43, 44, 45], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(8, 7, {'arc': 28, 'demand': 1, 'cost_traversing': 8, 'cost_collecting': 8, 'opposed_arc': 26, 'successor_arcs': [24, 25, 26, 27], 'frequency': 1}), (8, 10, {'arc': 29, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 35, 'successor_arcs': [34, 35, 36, 37], 'frequency': 4}), (8, 11, {'arc': 30, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 39, 'successor_arcs': [38, 39, 40, 41], 'frequency': 5})] [0.33333333 0.33333333 0.33333333]
[(11, 5, {'arc': 38, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 19, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (11, 8, {'arc': 39, 'demand': 1, 'cost_traversing': 10, 'cost_collecting': 10, 'opposed_arc': 30, 'successor_arcs': [28, 29, 30], 'frequency': 5}), (11, 9, {'arc': 40, 'demand': 1, 'cost_traversing': 14, 'cost_collecting': 14, 'opposed_arc': 33, 'successor_arcs': [31, 32, 33], 'frequency': 1}), (11, 10, {'arc': 41, 'demand': 1, 'cost_traversing': 12, 'cost_collecting': 12, 'opposed_arc': 37, 'successor_arcs': [34, 35, 36, 37], 'frequency': 2})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(6, 5, {'arc': 21, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 18, 'successor_arcs': [17, 18, 19, 20], 'frequency': 2}), (6, 7, {'arc': 22, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 25, 'successor_arcs': [24, 25, 26, 27], 'frequency': 4}), (6, 12, {'arc': 23, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 44, 'successor_arcs': [42, 43, 44, 45], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(12, 1, {'arc': 42, 'demand': 1, 'cost_traversing': 4, 'cost_collecting': 4, 'opposed_arc': 6, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (12, 5, {'arc': 43, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 20, 'successor_arcs': [17, 18, 19, 20], 'frequency': 3}), (12, 6, {'arc': 44, 'demand': 1, 'cost_traversing': 3, 'cost_collecting': 3, 'opposed_arc': 23, 'successor_arcs': [21, 22, 23], 'frequency': 4}), (12, 7, {'arc': 45, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 27, 'successor_arcs': [24, 25, 26, 27], 'frequency': 5})] [0.25 0.25 0.25 0.25]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arcs': [11, 12, 13], 'frequency': 4}), (5, 6, {'arc': 18, 'demand': 1, 'cost_traversing': 7, 'cost_collecting': 7, 'opposed_arc': 21, 'successor_arcs': [21, 22, 23], 'frequency': 2}), (5, 11, {'arc': 19, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 38, 'successor_arcs': [38, 39, 40, 41], 'frequency': 2}), (5, 12, {'arc': 20, 'demand': 1, 'cost_traversing': 11, 'cost_collecting': 11, 'opposed_arc': 43, 'successor_arcs': [42, 43, 44, 45], 'frequency': 3})] [0.25 0.25 0.25 0.25]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [1. 0. 0.]
[(2, 1, {'arc': 7, 'demand': 1, 'cost_traversing': 13, 'cost_collecting': 13, 'opposed_arc': 2, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 4}), (2, 3, {'arc': 8, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 11, 'successor_arcs': [11, 12, 13], 'frequency': 1}), (2, 4, {'arc': 9, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 15, 'successor_arcs': [14, 15, 16], 'frequency': 2}), (2, 9, {'arc': 10, 'demand': 1, 'cost_traversing': 2, 'cost_collecting': 2, 'opposed_arc': 31, 'successor_arcs': [31, 32, 33], 'frequency': 2})] [0. 0. 1. 0.]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0. 0. 1.]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(4, 1, {'arc': 14, 'demand': 1, 'cost_traversing': 17, 'cost_collecting': 17, 'opposed_arc': 3, 'successor_arcs': [1, 2, 3, 4, 5, 6], 'frequency': 1}), (4, 2, {'arc': 15, 'demand': 1, 'cost_traversing': 9, 'cost_collecting': 9, 'opposed_arc': 9, 'successor_arcs': [7, 8, 9, 10], 'frequency': 2}), (4, 3, {'arc': 16, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 12, 'successor_arcs': [11, 12, 13], 'frequency': 3})] [0.33333333 0.33333333 0.33333333]
[(3, 2, {'arc': 11, 'demand': 1, 'cost_traversing': 18, 'cost_collecting': 18, 'opposed_arc': 8, 'successor_arcs': [7, 8, 9, 10], 'frequency': 1}), (3, 4, {'arc': 12, 'demand': 1, 'cost_traversing': 20, 'cost_collecting': 20, 'opposed_arc': 16, 'successor_arcs': [14, 15, 16], 'frequency': 3}), (3, 5, {'arc': 13, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 17, 'successor_arcs': [17, 18, 19, 20], 'frequency': 4})] [0.33333333 0.33333333 0.33333333]
[(5, 3, {'arc': 17, 'demand': 1, 'cost_traversing': 5, 'cost_collecting': 5, 'opposed_arc': 13, 'successor_arc